- published: 16 Aug 2021
- views: 115616
Algorithm
In mathematics and computer science, an algorithm (
i/ˈælɡərɪðəm/ AL-gə-ri-dhəm) is a self-contained step-by-step set of operations to be performed. Algorithms exist that perform calculation, data processing, and automated reasoning.
The words 'algorithm' and 'algorism' come from the name al-Khwārizmī. Al-Khwārizmī (Persian: خوارزمي, c. 780-850) was a Persian mathematician, astronomer, geographer, and scholar.
An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing "output" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Algorithm
Algorithm (disambiguation)
An algorithm is a self-contained step-by-step set of operations to be performed.
Algorithm may also refer to:
See also
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Algorithm_(disambiguation)
Medical algorithm
A medical algorithm is any computation, formula, statistical survey, nomogram, or look-up table, useful in healthcare. Medical algorithms include decision tree approaches to healthcare treatment (e.g., if symptoms A, B, and C are evident, then use treatment X) and also less clear-cut tools aimed at reducing or defining uncertainty.
Scope
Medical algorithms are part of a broader field which is usually fit under the aims of medical informatics and medical decision making. Medical decisions occur in several areas of medical activity including medical test selection, diagnosis, therapy and prognosis, and automatic control of medical equipment.
In relation to logic-based and artificial neural network-based clinical decision support system, which are also computer applications to the medical decision making field, algorithms are less complex in architecture, data structure and user interface. Medical algorithms are not necessarily implemented using digital computers. In fact, many of them can be represented on paper, in the form of diagrams, nomographs, etc.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Medical_algorithm
Podcasts:
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What Is An Algorithm? | What Exactly Is Algorithm? | Algorithm Basics Explained | Simplilearn
🔥Full Stack Developer (MERN Stack): https://www.simplilearn.com/full-stack-developer-course-mern-certification-training?utm_campaign=SCE-FullstackIITM&utm_medium=DescriptionFF&utm_source=youtube 🔥 Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=WhatIsAnAlgorithm-cuhLSGGV-1k&utm_medium=Descriptionff&utm_source=youtube 🔥 Caltech Coding Bootcamp (US Only): https://www.simplilearn.com/coding-bootcamp?utm_campaign=WhatIsAnAlgorithm-cuhLSGGV-1k&utm_medium=Descriptionff&utm_source=youtube 🔥 Full Stack Java Developer (India Only) - https://www.simplilearn.com/java-full-stack-developer-certification-training-course?utm_campaign=WhatIsAnAlgorithm-cuhLSGGV-1k&utm_medium=Descriptionff&utm_source=...
published: 16 Aug 2021 -
Intro to Algorithms: Crash Course Computer Science #13
Algorithms are the sets of steps necessary to complete computation - they are at the heart of what our devices actually do. And this isn’t a new concept. Since the development of math itself algorithms have been needed to help us complete tasks more efficiently, but today we’re going to take a look a couple modern computing problems like sorting and graph search, and show how we’ve made them more efficient so you can more easily find cheap airfare or map directions to Winterfell... or like a restaurant or something. Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/ CORRECTION: In the pseudocode for selection sort at 3:09, this line: swap array items at index and smallest should be: swap array items at i...
published: 24 May 2017 -
I gave 127 interviews. Top 5 Algorithms they asked me.
1. How to learn Data Structures and Algorithms? 2. The best course to learn Data Structures and Algorithms in Java and Python 3. How to crack coding interview? 4. How to use Leetcode effectively? I will answer all these questions in this video. ► Useful links: 1. Top k largest elements: https://www.geeksforgeeks.org/k-largestor-smallest-elements-in-an-array/ 2. Sliding window: https://leetcode.com/problems/longest-substring-without-repeating-characters/solutions/1812/share-my-java-solution-using-hashset/ 3. Combination Sum Backtracking: https://replit.com/@replitshare2/CombinationSumBacktracking#main.py 4. Combination Sum Dynamic Programming: https://replit.com/@replitshare2/CombinationSumDP#main.py 5. DFS and BFS: https://www.youtube.com/watch?v=pcKY4hjDrxk Disclosure: Resources above ...
published: 17 Jun 2023 -
Algorithms and Data Structures Tutorial - Full Course for Beginners
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. There are three main parts to this course: algorithms, data structures, and a deep dive into sorting and searching algorithms. By the end, you will understand what algorithms and data structures are, how they are measured and evaluated, and how they are used to solve problems. This course was developed by Pasan Premaratne and Jay McGavren. It was made possible by a grant from teamtreehouse.com ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction to Algorithms ⌨️ (1:57:44) Introduction to Data Structures ⌨️ (4:11:02) Algorithms: Sorting and Searching ⭐️ Code Snippets for Course ⭐️ 💻 Introduction to Algorithms: ⌨️ Algorithms in Code: 🔗 Linear Search Implementations: https://t...
published: 18 Mar 2021 -
Computer Science Basics: Algorithms
We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind computer science. To view the entire playlist, visit https://www.youtube.com/playlist?list=PLpQQipWcxwt-Q9izCl0mm-QZ4seuBdUtr. We hope you enjoy!
published: 03 Oct 2018 -
Data Structures and Algorithms for Beginners
Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists! 🚀 Get interview-ready with my full course: https://bit.ly/2OwNTxx 👍 Subscribe for more awesome content: https://goo.gl/6PYaGF Need Java foundations first? Check out my tutorial: https://youtu.be/eIrMbAQSU34 ✋ Stay connected: - Twitter: https://twitter.com/moshhamedani - Facebook: https://www.facebook.com/programmingwithmosh/ - Instagram: https://www.instagram.com/codewithmosh.official/ - LinkedIn: https://www.linkedin.com/school/codewithmosh/ 💡 What you'll learn: - Big O notation for analyzing code efficiency. - How to implement and use arrays. - The basics of linked lists. 👉 This tutorial is perfect for you if: - You're preparing for technica...
published: 10 Dec 2019 -
Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges
Learn how to use Dynamic Programming in this course for beginners. It can help you solve complex programming problems, such as those often seen in programming interview questions about data structures and algorithms. This course was developed by Alvin Zablan from Coderbyte. Coderbyte is one of the top websites for technical interview prep and coding challenges. 🔗 Check out the Coderbyte channel: https://www.youtube.com/channel/UCOJtQcnBnIy4LERo6vkrItg 🔗 Improve your coding and interview skills: https://coderbyte.com/member?promo=janpromo4351&utm_source=FCC&utm_medium=Video&utm_campaign=promo&utm_content=Dynamic%20Programming (NOT an affiliate link) This course uses images and animations to help you visualize problems and important concepts. After understanding problems conceptually, you...
published: 03 Dec 2020 -
What exactly is an algorithm? Algorithms explained | BBC Ideas
What is an algorithm? You may be familiar with the idea in the context of Instagram, YouTube or Facebook, but it can feel like a big, abstract concept. Here’s presenter Jon Stroud with a step-by-step guide to what algorithms actually are, what algorithms do, and how algorithms work. Want to find out more? Have a watch of this video next... Why algorithms are called algorithms https://www.youtube.com/watch?v=oRkNaF0QvnI Made by Jist Studios. Subscribe to BBC Ideas 👉 https://bbc.in/2F6ipav -------------------------------------------------------------------------------- Do you have a curious mind? You’re in the right place. Our aim on BBC Ideas is to feed your curiosity, to open your mind to new perspectives, and to leave you that little bit smarter. So dive in. Let us know what you...
published: 26 Sep 2019 -
Why You Need Data Structures and Algorithm Skills in Coding #programming #coding #softwareengineer
published: 11 Jun 2023 -
Greedy Algorithms Tutorial – Solve Coding Challenges
Learn how to use greedy algorithms to solve coding challenges. Many tech companies want people to solve coding challenges during interviews and many of the challenges can be solved using a greedy algorithm. A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage. ✏️ Course from Tanishq Chaudhary. Check out his channel: https://www.youtube.com/c/TanishqChaudhary1337/ Links to coding challenges on InterviewBit: 🔗 Highest product: https://www.interviewbit.com/problems/highest-product/ 🔗 Bulbs: https://www.interviewbit.com/problems/interview-questions/ 🔗 Disjoint intervals: https://www.interviewbit.com/problems/disjoint-intervals/ 🔗 Largest permutation: https://www.interviewbit.com/problems/largest-permutation/ 🔗 Meeti...
published: 27 Jun 2022
developed with YouTube
13:18
What Is An Algorithm? | What Exactly Is Algorithm? | Algorithm Basics Explained | Simplilearn
- Order: Reorder
- Duration: 13:18
- Uploaded Date: 16 Aug 2021
- views: 115616
🔥Full Stack Developer (MERN Stack): https://www.simplilearn.com/full-stack-developer-course-mern-certification-training?utm_campaign=SCE-FullstackIITM&utm_mediu...
🔥Full Stack Developer (MERN Stack): https://www.simplilearn.com/full-stack-developer-course-mern-certification-training?utm_campaign=SCE-FullstackIITM&utm_medium=DescriptionFF&utm_source=youtube
🔥 Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=WhatIsAnAlgorithm-cuhLSGGV-1k&utm_medium=Descriptionff&utm_source=youtube
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This video explains what is an algorithm in the data structure. This Simplilearn's What Is An Algorithm? tutorial will help beginners to understand what exactly is an algorithm with an example. All of the algorithm basics are explained in this video.
Following topics covered in this video:
00:00 What is an Algorithm?
02:42 What Is An Algorithm? and Characteristics of an Algorithm
05:02 How to write an Algorithm?
07:23 What Is An Algorithm? and it's Analysis
08:30 What Is An Algorithm? and it's Complexity
10:45 Pros and Cons of an Algorithm
11:26 Algorithm vs Programming
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out our Data Structures training videos playlist: https://www.youtube.com/watch?v=27PdRL89A9U&list=PLEiEAq2VkUUJMxIegQ1ge1tcGskjdiwGP
#Algorithm #WhatIsAnAlgorithm #WhatExactlyIsAlgorithm #AlgorithmExplanation #AlgorithmExplained #AlgorithmBasics #AlgorithmExplanation #DataStructureTutorial #DataStructureAndAlgorithmsTutorial #DataStrcutures #Simplilearn
What is an Algorithm?
An algorithm is a finite sequence of well-defined, computer-implementable instructions used to solve a class of specific problems or perform computation in computer science. Algorithms are always clear and are used as specifications for calculations, data processing, automated reasoning, and other tasks.
What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.
➡️ About Post Graduate Program In Full Stack Web Development
This program will give you the foundation for building full-stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is the perfect time to get started on your career as a full-stack web developer!
✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 25 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- Online Convocation by Caltech CTME Program Director
- 20 lesson-end and 5 phase-end projects
- Capstone Project in 4 domains
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- Build your own portfolio on GitHub
✅ Skills Covered
- Agile
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- Hibernate and JPA
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- JavaScript ES6
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Learn more about Data Structures: https://www.simplilearn.com/data-structures-and-algorithms-article?utm_campaign=WhatIsAnAlgorithm&utm_medium=Description&utm_source=youtube
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https://wn.com/What_Is_An_Algorithm_|_What_Exactly_Is_Algorithm_|_Algorithm_Basics_Explained_|_Simplilearn
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🔥 Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=WhatIsAnAlgorithm-cuhLSGGV-1k&utm_medium=Descriptionff&utm_source=youtube
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This video explains what is an algorithm in the data structure. This Simplilearn's What Is An Algorithm? tutorial will help beginners to understand what exactly is an algorithm with an example. All of the algorithm basics are explained in this video.
Following topics covered in this video:
00:00 What is an Algorithm?
02:42 What Is An Algorithm? and Characteristics of an Algorithm
05:02 How to write an Algorithm?
07:23 What Is An Algorithm? and it's Analysis
08:30 What Is An Algorithm? and it's Complexity
10:45 Pros and Cons of an Algorithm
11:26 Algorithm vs Programming
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out our Data Structures training videos playlist: https://www.youtube.com/watch?v=27PdRL89A9U&list=PLEiEAq2VkUUJMxIegQ1ge1tcGskjdiwGP
#Algorithm #WhatIsAnAlgorithm #WhatExactlyIsAlgorithm #AlgorithmExplanation #AlgorithmExplained #AlgorithmBasics #AlgorithmExplanation #DataStructureTutorial #DataStructureAndAlgorithmsTutorial #DataStrcutures #Simplilearn
What is an Algorithm?
An algorithm is a finite sequence of well-defined, computer-implementable instructions used to solve a class of specific problems or perform computation in computer science. Algorithms are always clear and are used as specifications for calculations, data processing, automated reasoning, and other tasks.
What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.
➡️ About Post Graduate Program In Full Stack Web Development
This program will give you the foundation for building full-stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is the perfect time to get started on your career as a full-stack web developer!
✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 25 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- Online Convocation by Caltech CTME Program Director
- 20 lesson-end and 5 phase-end projects
- Capstone Project in 4 domains
- Caltech CTME Circle Membership
- Build your own portfolio on GitHub
✅ Skills Covered
- Agile
- JAVA
- Hibernate and JPA
- Spring Core 50
- DevOps
- HTML5 and CSS3
- AWS
- JavaScript ES6
- Servlets
- SOAP and REST
- JSP
Learn more about Data Structures: https://www.simplilearn.com/data-structures-and-algorithms-article?utm_campaign=WhatIsAnAlgorithm&utm_medium=Description&utm_source=youtube
🔥Explore our FREE Courses with Completion Certificates: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=WhatIsAnAlgorithm&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
11:44
Intro to Algorithms: Crash Course Computer Science #13
- Order: Reorder
- Duration: 11:44
- Uploaded Date: 24 May 2017
- views: 1730633
Algorithms are the sets of steps necessary to complete computation - they are at the heart of what our devices actually do. And this isn’t a new concept. Since ...
Algorithms are the sets of steps necessary to complete computation - they are at the heart of what our devices actually do. And this isn’t a new concept. Since the development of math itself algorithms have been needed to help us complete tasks more efficiently, but today we’re going to take a look a couple modern computing problems like sorting and graph search, and show how we’ve made them more efficient so you can more easily find cheap airfare or map directions to Winterfell... or like a restaurant or something.
Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/
CORRECTION:
In the pseudocode for selection sort at 3:09, this line:
swap array items at index and smallest
should be:
swap array items at i and smallest
Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios
Want to know more about Carrie Anne?
https://about.me/carrieannephilbin
The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list...
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https://wn.com/Intro_To_Algorithms_Crash_Course_Computer_Science_13
Algorithms are the sets of steps necessary to complete computation - they are at the heart of what our devices actually do. And this isn’t a new concept. Since the development of math itself algorithms have been needed to help us complete tasks more efficiently, but today we’re going to take a look a couple modern computing problems like sorting and graph search, and show how we’ve made them more efficient so you can more easily find cheap airfare or map directions to Winterfell... or like a restaurant or something.
Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/
CORRECTION:
In the pseudocode for selection sort at 3:09, this line:
swap array items at index and smallest
should be:
swap array items at i and smallest
Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios
Want to know more about Carrie Anne?
https://about.me/carrieannephilbin
The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list...
Want to find Crash Course elsewhere on the internet?
Facebook - https://www.facebook.com/YouTubeCrash...
Twitter - http://www.twitter.com/TheCrashCourse
Tumblr - http://thecrashcourse.tumblr.com
Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids
- published: 24 May 2017
- views: 1730633
8:36
I gave 127 interviews. Top 5 Algorithms they asked me.
- Order: Reorder
- Duration: 8:36
- Uploaded Date: 17 Jun 2023
- views: 543431
1. How to learn Data Structures and Algorithms?
2. The best course to learn Data Structures and Algorithms in Java and Python
3. How to crack coding interview?
...
1. How to learn Data Structures and Algorithms?
2. The best course to learn Data Structures and Algorithms in Java and Python
3. How to crack coding interview?
4. How to use Leetcode effectively?
I will answer all these questions in this video.
► Useful links:
1. Top k largest elements: https://www.geeksforgeeks.org/k-largestor-smallest-elements-in-an-array/
2. Sliding window: https://leetcode.com/problems/longest-substring-without-repeating-characters/solutions/1812/share-my-java-solution-using-hashset/
3. Combination Sum Backtracking: https://replit.com/@replitshare2/CombinationSumBacktracking#main.py
4. Combination Sum Dynamic Programming: https://replit.com/@replitshare2/CombinationSumDP#main.py
5. DFS and BFS: https://www.youtube.com/watch?v=pcKY4hjDrxk
Disclosure: Resources above are all FREE in the US. However, If you pay for a Coursera or Udacity course using our link, we get paid a small amount.
► For more content like this, subscribe to our channel: https://www.youtube.com/PowerCouple26
► Follow us on Linkedin:
https://www.linkedin.com/in/gabag26
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► For business inquiries, reach us on: powercouplejourney@gmail.com
#datastructures #datastructuresandalgorithms #leetcode #codinginterview
DISCLAIMER: All opinions shared on this channel are our own and don't express views or opinions of our employers. We only use our experiences and public knowledge to make our content. NO CONFIDENTIAL INFORMATION of our employers is used or shared on this channel. This is not a Professional Coaching channel, it only highlights the public resources that have worked for our careers.
https://wn.com/I_Gave_127_Interviews._Top_5_Algorithms_They_Asked_Me.
1. How to learn Data Structures and Algorithms?
2. The best course to learn Data Structures and Algorithms in Java and Python
3. How to crack coding interview?
4. How to use Leetcode effectively?
I will answer all these questions in this video.
► Useful links:
1. Top k largest elements: https://www.geeksforgeeks.org/k-largestor-smallest-elements-in-an-array/
2. Sliding window: https://leetcode.com/problems/longest-substring-without-repeating-characters/solutions/1812/share-my-java-solution-using-hashset/
3. Combination Sum Backtracking: https://replit.com/@replitshare2/CombinationSumBacktracking#main.py
4. Combination Sum Dynamic Programming: https://replit.com/@replitshare2/CombinationSumDP#main.py
5. DFS and BFS: https://www.youtube.com/watch?v=pcKY4hjDrxk
Disclosure: Resources above are all FREE in the US. However, If you pay for a Coursera or Udacity course using our link, we get paid a small amount.
► For more content like this, subscribe to our channel: https://www.youtube.com/PowerCouple26
► Follow us on Linkedin:
https://www.linkedin.com/in/gabag26
https://www.linkedin.com/in/sarrabounouh
► Let's be FRIENDS! https://www.instagram.com/power_couple26/
► For business inquiries, reach us on: powercouplejourney@gmail.com
#datastructures #datastructuresandalgorithms #leetcode #codinginterview
DISCLAIMER: All opinions shared on this channel are our own and don't express views or opinions of our employers. We only use our experiences and public knowledge to make our content. NO CONFIDENTIAL INFORMATION of our employers is used or shared on this channel. This is not a Professional Coaching channel, it only highlights the public resources that have worked for our careers.
- published: 17 Jun 2023
- views: 543431
5:22:09
Algorithms and Data Structures Tutorial - Full Course for Beginners
- Order: Reorder
- Duration: 5:22:09
- Uploaded Date: 18 Mar 2021
- views: 4313832
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. There are three main parts to this course...
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. There are three main parts to this course: algorithms, data structures, and a deep dive into sorting and searching algorithms.
By the end, you will understand what algorithms and data structures are, how they are measured and evaluated, and how they are used to solve problems.
This course was developed by Pasan Premaratne and Jay McGavren. It was made possible by a grant from teamtreehouse.com
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to Algorithms
⌨️ (1:57:44) Introduction to Data Structures
⌨️ (4:11:02) Algorithms: Sorting and Searching
⭐️ Code Snippets for Course ⭐️
💻 Introduction to Algorithms:
⌨️ Algorithms in Code:
🔗 Linear Search Implementations: https://teamtreehouse.com/library/introduction-to-algorithms/algorithms-in-code/linear-search-implementations
🔗 Binary Search Implementations: https://teamtreehouse.com/library/introduction-to-algorithms/algorithms-in-code/binary-search-implementations
💻 Introduction to Data Structures
⌨️ Exploring Arrays:
🔗 Array Characteristics and Storage: https://teamtreehouse.com/library/introduction-to-data-structures/exploring-arrays/array-characteristics-and-storage
🔗 Operations on Arrays: https://teamtreehouse.com/library/introduction-to-data-structures/exploring-arrays/operations-on-arrays
⌨️ Building a Linked List:
🔗 Singly and Doubly Linked Lists: https://teamtreehouse.com/library/introduction-to-data-structures/building-a-linked-list/singly-and-doubly-linked-lists-2
🔗 Linked List Operations: https://teamtreehouse.com/library/introduction-to-data-structures/building-a-linked-list/linked-lists-operations
⌨️ The Merge Sort Algorithm:
🔗 Merge Sort Implementations: https://teamtreehouse.com/library/introduction-to-data-structures/the-merge-sort-algorithm/merge-sort-implementations
🔗 Alternate Versions of Merge Sort: https://teamtreehouse.com/library/introduction-to-data-structures/the-merge-sort-algorithm/alternate-versions-of-merge-sort
⌨️ Merge Sort and Linked Lists:
🔗 Implementing Merge Sort on Linked Lists: https://teamtreehouse.com/library/introduction-to-data-structures/merge-sort-and-linked-lists/implementing-merge-sort-on-linked-lists
💻 Algorithms: Sorting and Searching
⌨️ Sorting Algorithms:
🔗 Code for Bogosort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-bogosort
🔗 Code for Selection Sort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-selection-sort
🔗 Code for Quicksort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-quicksort
🔗 Code for Merge Sort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-merge-sort
⌨️ Searching Names:
🔗 Code for Linear Search: https://teamtreehouse.com/library/algorithms-sorting-and-searching/searching-names/code-for-linear-search
🔗 Code for Binary Search: https://teamtreehouse.com/library/algorithms-sorting-and-searching/searching-names/code-for-binary-search
--
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https://wn.com/Algorithms_And_Data_Structures_Tutorial_Full_Course_For_Beginners
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. There are three main parts to this course: algorithms, data structures, and a deep dive into sorting and searching algorithms.
By the end, you will understand what algorithms and data structures are, how they are measured and evaluated, and how they are used to solve problems.
This course was developed by Pasan Premaratne and Jay McGavren. It was made possible by a grant from teamtreehouse.com
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to Algorithms
⌨️ (1:57:44) Introduction to Data Structures
⌨️ (4:11:02) Algorithms: Sorting and Searching
⭐️ Code Snippets for Course ⭐️
💻 Introduction to Algorithms:
⌨️ Algorithms in Code:
🔗 Linear Search Implementations: https://teamtreehouse.com/library/introduction-to-algorithms/algorithms-in-code/linear-search-implementations
🔗 Binary Search Implementations: https://teamtreehouse.com/library/introduction-to-algorithms/algorithms-in-code/binary-search-implementations
💻 Introduction to Data Structures
⌨️ Exploring Arrays:
🔗 Array Characteristics and Storage: https://teamtreehouse.com/library/introduction-to-data-structures/exploring-arrays/array-characteristics-and-storage
🔗 Operations on Arrays: https://teamtreehouse.com/library/introduction-to-data-structures/exploring-arrays/operations-on-arrays
⌨️ Building a Linked List:
🔗 Singly and Doubly Linked Lists: https://teamtreehouse.com/library/introduction-to-data-structures/building-a-linked-list/singly-and-doubly-linked-lists-2
🔗 Linked List Operations: https://teamtreehouse.com/library/introduction-to-data-structures/building-a-linked-list/linked-lists-operations
⌨️ The Merge Sort Algorithm:
🔗 Merge Sort Implementations: https://teamtreehouse.com/library/introduction-to-data-structures/the-merge-sort-algorithm/merge-sort-implementations
🔗 Alternate Versions of Merge Sort: https://teamtreehouse.com/library/introduction-to-data-structures/the-merge-sort-algorithm/alternate-versions-of-merge-sort
⌨️ Merge Sort and Linked Lists:
🔗 Implementing Merge Sort on Linked Lists: https://teamtreehouse.com/library/introduction-to-data-structures/merge-sort-and-linked-lists/implementing-merge-sort-on-linked-lists
💻 Algorithms: Sorting and Searching
⌨️ Sorting Algorithms:
🔗 Code for Bogosort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-bogosort
🔗 Code for Selection Sort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-selection-sort
🔗 Code for Quicksort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-quicksort
🔗 Code for Merge Sort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-merge-sort
⌨️ Searching Names:
🔗 Code for Linear Search: https://teamtreehouse.com/library/algorithms-sorting-and-searching/searching-names/code-for-linear-search
🔗 Code for Binary Search: https://teamtreehouse.com/library/algorithms-sorting-and-searching/searching-names/code-for-binary-search
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
- published: 18 Mar 2021
- views: 4313832
2:30
Computer Science Basics: Algorithms
- Order: Reorder
- Duration: 2:30
- Uploaded Date: 03 Oct 2018
- views: 497415
We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind compu...
We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind computer science.
To view the entire playlist, visit https://www.youtube.com/playlist?list=PLpQQipWcxwt-Q9izCl0mm-QZ4seuBdUtr.
We hope you enjoy!
https://wn.com/Computer_Science_Basics_Algorithms
We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind computer science.
To view the entire playlist, visit https://www.youtube.com/playlist?list=PLpQQipWcxwt-Q9izCl0mm-QZ4seuBdUtr.
We hope you enjoy!
- published: 03 Oct 2018
- views: 497415
1:18:43
Data Structures and Algorithms for Beginners
- Order: Reorder
- Duration: 1:18:43
- Uploaded Date: 10 Dec 2019
- views: 1680642
Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists!
🚀 Get interview...
Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists!
🚀 Get interview-ready with my full course: https://bit.ly/2OwNTxx
👍 Subscribe for more awesome content: https://goo.gl/6PYaGF
Need Java foundations first? Check out my tutorial: https://youtu.be/eIrMbAQSU34
✋ Stay connected:
- Twitter: https://twitter.com/moshhamedani
- Facebook: https://www.facebook.com/programmingwithmosh/
- Instagram: https://www.instagram.com/codewithmosh.official/
- LinkedIn: https://www.linkedin.com/school/codewithmosh/
💡 What you'll learn:
- Big O notation for analyzing code efficiency.
- How to implement and use arrays.
- The basics of linked lists.
👉 This tutorial is perfect for you if:
- You're preparing for technical job interviews.
- You want to improve your coding fundamentals.
- You're a CS student learning these concepts.
Let's get started!
📖 TABLE OF CONTENT
0:00:00 Intro
0:01:04 What is Big O?
0:03:03 O(1)
0:04:32 O(n)
0:08:17 O(n^2)
0:10:41 O(log n)
0:13:20 O(2^n)
0:14:10 Space Complexity
0:17:53 Understanding Arrays
0:21:03 Working with Arrays
0:24:32 Exercise: Building an Array
0:27:24 Solution: Creating the Array Class
0:30:43 Solution: insert()
0:35:03 Solution: remove()
0:39:54 Solution: indexOf()
0:42:23 Dynamic Arrays
0:46:11 Linked Lists Introduction
0:46:41 What are Linked Lists?
0:51:16 Working with Linked Lists
0:54:40 Exercise: Building a Linked List
0:56:05 Solution: addLast()
1:02:15 Solution: addFirst()
1:04:28 Solution: indexOf()
1:06:23 Solution: contains()
1:07:28 Solution: removeFirst()
1:11:52 Solution: removeLast()
#ComputerScience #Coding #Programming
https://wn.com/Data_Structures_And_Algorithms_For_Beginners
Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists!
🚀 Get interview-ready with my full course: https://bit.ly/2OwNTxx
👍 Subscribe for more awesome content: https://goo.gl/6PYaGF
Need Java foundations first? Check out my tutorial: https://youtu.be/eIrMbAQSU34
✋ Stay connected:
- Twitter: https://twitter.com/moshhamedani
- Facebook: https://www.facebook.com/programmingwithmosh/
- Instagram: https://www.instagram.com/codewithmosh.official/
- LinkedIn: https://www.linkedin.com/school/codewithmosh/
💡 What you'll learn:
- Big O notation for analyzing code efficiency.
- How to implement and use arrays.
- The basics of linked lists.
👉 This tutorial is perfect for you if:
- You're preparing for technical job interviews.
- You want to improve your coding fundamentals.
- You're a CS student learning these concepts.
Let's get started!
📖 TABLE OF CONTENT
0:00:00 Intro
0:01:04 What is Big O?
0:03:03 O(1)
0:04:32 O(n)
0:08:17 O(n^2)
0:10:41 O(log n)
0:13:20 O(2^n)
0:14:10 Space Complexity
0:17:53 Understanding Arrays
0:21:03 Working with Arrays
0:24:32 Exercise: Building an Array
0:27:24 Solution: Creating the Array Class
0:30:43 Solution: insert()
0:35:03 Solution: remove()
0:39:54 Solution: indexOf()
0:42:23 Dynamic Arrays
0:46:11 Linked Lists Introduction
0:46:41 What are Linked Lists?
0:51:16 Working with Linked Lists
0:54:40 Exercise: Building a Linked List
0:56:05 Solution: addLast()
1:02:15 Solution: addFirst()
1:04:28 Solution: indexOf()
1:06:23 Solution: contains()
1:07:28 Solution: removeFirst()
1:11:52 Solution: removeLast()
#ComputerScience #Coding #Programming
- published: 10 Dec 2019
- views: 1680642
5:10:02
Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges
- Order: Reorder
- Duration: 5:10:02
- Uploaded Date: 03 Dec 2020
- views: 4061148
Learn how to use Dynamic Programming in this course for beginners. It can help you solve complex programming problems, such as those often seen in programming i...
Learn how to use Dynamic Programming in this course for beginners. It can help you solve complex programming problems, such as those often seen in programming interview questions about data structures and algorithms.
This course was developed by Alvin Zablan from Coderbyte. Coderbyte is one of the top websites for technical interview prep and coding challenges.
🔗 Check out the Coderbyte channel: https://www.youtube.com/channel/UCOJtQcnBnIy4LERo6vkrItg
🔗 Improve your coding and interview skills: https://coderbyte.com/member?promo=janpromo4351&utm_source=FCC&utm_medium=Video&utm_campaign=promo&utm_content=Dynamic%20Programming (NOT an affiliate link)
This course uses images and animations to help you visualize problems and important concepts. After understanding problems conceptually, you will learn how to solve them in JavaScript using Dynamic Programming. Even though JavaScript is used in this course, you will learn concepts and knowledge that you can apply to other programming languages.
⭐️ Course Contents ⭐️
⌨️ (00:00:00) course introduction
⌨️ (00:03:30) fib memoization
⌨️ (00:38:39) gridTraveler memoization
⌨️ (01:04:52) memoization recipe
⌨️ (01:09:56) canSum memoization
⌨️ (01:29:29) howSum memoization
⌨️ (01:52:06) bestSum memoization
⌨️ (02:12:45) canConstruct memoization
⌨️ (02:38:36) countConstruct memoization
⌨️ (02:47:30) allConstruct memoization
⌨️ (03:10:53) fib tabulation
⌨️ (03:22:17) gridTraveler tabulation
⌨️ (03:34:32) tabulation recipe
⌨️ (03:37:59) canSum tabulation
⌨️ (03:53:01) howSum tabulation
⌨️ (04:07:21) bestSum tabulation
⌨️ (04:20:50) canConstruct tabulation
⌨️ (04:38:06) countConstruct tabulation
⌨️ (04:50:23) allConstruct tabulation
⌨️ (05:07:44) closing thoughts
⭐️ Special thanks to our Champion supporters! ⭐️
🏆 Loc Do
🏆 Joseph C
🏆 DeezMaster
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
https://wn.com/Dynamic_Programming_Learn_To_Solve_Algorithmic_Problems_Coding_Challenges
Learn how to use Dynamic Programming in this course for beginners. It can help you solve complex programming problems, such as those often seen in programming interview questions about data structures and algorithms.
This course was developed by Alvin Zablan from Coderbyte. Coderbyte is one of the top websites for technical interview prep and coding challenges.
🔗 Check out the Coderbyte channel: https://www.youtube.com/channel/UCOJtQcnBnIy4LERo6vkrItg
🔗 Improve your coding and interview skills: https://coderbyte.com/member?promo=janpromo4351&utm_source=FCC&utm_medium=Video&utm_campaign=promo&utm_content=Dynamic%20Programming (NOT an affiliate link)
This course uses images and animations to help you visualize problems and important concepts. After understanding problems conceptually, you will learn how to solve them in JavaScript using Dynamic Programming. Even though JavaScript is used in this course, you will learn concepts and knowledge that you can apply to other programming languages.
⭐️ Course Contents ⭐️
⌨️ (00:00:00) course introduction
⌨️ (00:03:30) fib memoization
⌨️ (00:38:39) gridTraveler memoization
⌨️ (01:04:52) memoization recipe
⌨️ (01:09:56) canSum memoization
⌨️ (01:29:29) howSum memoization
⌨️ (01:52:06) bestSum memoization
⌨️ (02:12:45) canConstruct memoization
⌨️ (02:38:36) countConstruct memoization
⌨️ (02:47:30) allConstruct memoization
⌨️ (03:10:53) fib tabulation
⌨️ (03:22:17) gridTraveler tabulation
⌨️ (03:34:32) tabulation recipe
⌨️ (03:37:59) canSum tabulation
⌨️ (03:53:01) howSum tabulation
⌨️ (04:07:21) bestSum tabulation
⌨️ (04:20:50) canConstruct tabulation
⌨️ (04:38:06) countConstruct tabulation
⌨️ (04:50:23) allConstruct tabulation
⌨️ (05:07:44) closing thoughts
⭐️ Special thanks to our Champion supporters! ⭐️
🏆 Loc Do
🏆 Joseph C
🏆 DeezMaster
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
- published: 03 Dec 2020
- views: 4061148
7:54
What exactly is an algorithm? Algorithms explained | BBC Ideas
- Order: Reorder
- Duration: 7:54
- Uploaded Date: 26 Sep 2019
- views: 382507
What is an algorithm? You may be familiar with the idea in the context of Instagram, YouTube or Facebook, but it can feel like a big, abstract concept. Here’s p...
What is an algorithm? You may be familiar with the idea in the context of Instagram, YouTube or Facebook, but it can feel like a big, abstract concept. Here’s presenter Jon Stroud with a step-by-step guide to what algorithms actually are, what algorithms do, and how algorithms work.
Want to find out more? Have a watch of this video next... Why algorithms are called algorithms https://www.youtube.com/watch?v=oRkNaF0QvnI
Made by Jist Studios.
Subscribe to BBC Ideas 👉 https://bbc.in/2F6ipav
--------------------------------------------------------------------------------
Do you have a curious mind? You’re in the right place.
Our aim on BBC Ideas is to feed your curiosity, to open your mind to new perspectives, and to leave you that little bit smarter.
So dive in. Let us know what you think. And make sure to subscribe! 👉https://bbc.in/2F6ipav
Visit our website to see all of our videos: https://www.bbc.com/ideas
And follow BBC Ideas on Twitter: https://twitter.com/bbcideas
#bbcideas #algorithm #explainervideos
https://wn.com/What_Exactly_Is_An_Algorithm_Algorithms_Explained_|_BBC_Ideas
What is an algorithm? You may be familiar with the idea in the context of Instagram, YouTube or Facebook, but it can feel like a big, abstract concept. Here’s presenter Jon Stroud with a step-by-step guide to what algorithms actually are, what algorithms do, and how algorithms work.
Want to find out more? Have a watch of this video next... Why algorithms are called algorithms https://www.youtube.com/watch?v=oRkNaF0QvnI
Made by Jist Studios.
Subscribe to BBC Ideas 👉 https://bbc.in/2F6ipav
--------------------------------------------------------------------------------
Do you have a curious mind? You’re in the right place.
Our aim on BBC Ideas is to feed your curiosity, to open your mind to new perspectives, and to leave you that little bit smarter.
So dive in. Let us know what you think. And make sure to subscribe! 👉https://bbc.in/2F6ipav
Visit our website to see all of our videos: https://www.bbc.com/ideas
And follow BBC Ideas on Twitter: https://twitter.com/bbcideas
#bbcideas #algorithm #explainervideos
- published: 26 Sep 2019
- views: 382507
0:54
Why You Need Data Structures and Algorithm Skills in Coding #programming #coding #softwareengineer
- Order: Reorder
- Duration: 0:54
- Uploaded Date: 11 Jun 2023
- views: 18479
- published: 11 Jun 2023
- views: 18479
1:53:09
Greedy Algorithms Tutorial – Solve Coding Challenges
- Order: Reorder
- Duration: 1:53:09
- Uploaded Date: 27 Jun 2022
- views: 288061
Learn how to use greedy algorithms to solve coding challenges. Many tech companies want people to solve coding challenges during interviews and many of the chal...
Learn how to use greedy algorithms to solve coding challenges. Many tech companies want people to solve coding challenges during interviews and many of the challenges can be solved using a greedy algorithm. A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage.
✏️ Course from Tanishq Chaudhary. Check out his channel: https://www.youtube.com/c/TanishqChaudhary1337/
Links to coding challenges on InterviewBit:
🔗 Highest product: https://www.interviewbit.com/problems/highest-product/
🔗 Bulbs: https://www.interviewbit.com/problems/interview-questions/
🔗 Disjoint intervals: https://www.interviewbit.com/problems/disjoint-intervals/
🔗 Largest permutation: https://www.interviewbit.com/problems/largest-permutation/
🔗 Meeting rooms: https://www.interviewbit.com/problems/meeting-rooms/
🔗 Distribute candy: https://www.interviewbit.com/problems/distribute-candy/
🔗 Seats: https://www.interviewbit.com/problems/seats/
🔗 Assign mice to holes: https://www.interviewbit.com/problems/assign-mice-to-holes/
🔗 Majority element: https://www.interviewbit.com/problems/majority-element/
🔗 Gas station: https://www.interviewbit.com/problems/gas-station/
⭐️ Course contents ⭐️
⌨️ (0:00:00) Greedy introduction
⌨️ (0:04:32) Bulbs
⌨️ (0:12:11) Highest product
⌨️ (0:17:08) Disjoint intervals
⌨️ (0:28:43) Largest permutation
⌨️ (0:38:30) Meeting rooms
⌨️ (0:49:25) Distribute candy
⌨️ (1:03:13) Seats
⌨️ (1:19:13) Assign mice to holes
⌨️ (1:24:19) Majority element
⌨️ (1:35:28) Gas station
⌨️ (1:52:39) End
--
🎉 Thanks to our Champion and Sponsor supporters:
👾 Raymond Odero
👾 Agustín Kussrow
👾 aldo ferretti
👾 Otis Morgan
👾 DeezMaster
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
https://wn.com/Greedy_Algorithms_Tutorial_–_Solve_Coding_Challenges
Learn how to use greedy algorithms to solve coding challenges. Many tech companies want people to solve coding challenges during interviews and many of the challenges can be solved using a greedy algorithm. A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage.
✏️ Course from Tanishq Chaudhary. Check out his channel: https://www.youtube.com/c/TanishqChaudhary1337/
Links to coding challenges on InterviewBit:
🔗 Highest product: https://www.interviewbit.com/problems/highest-product/
🔗 Bulbs: https://www.interviewbit.com/problems/interview-questions/
🔗 Disjoint intervals: https://www.interviewbit.com/problems/disjoint-intervals/
🔗 Largest permutation: https://www.interviewbit.com/problems/largest-permutation/
🔗 Meeting rooms: https://www.interviewbit.com/problems/meeting-rooms/
🔗 Distribute candy: https://www.interviewbit.com/problems/distribute-candy/
🔗 Seats: https://www.interviewbit.com/problems/seats/
🔗 Assign mice to holes: https://www.interviewbit.com/problems/assign-mice-to-holes/
🔗 Majority element: https://www.interviewbit.com/problems/majority-element/
🔗 Gas station: https://www.interviewbit.com/problems/gas-station/
⭐️ Course contents ⭐️
⌨️ (0:00:00) Greedy introduction
⌨️ (0:04:32) Bulbs
⌨️ (0:12:11) Highest product
⌨️ (0:17:08) Disjoint intervals
⌨️ (0:28:43) Largest permutation
⌨️ (0:38:30) Meeting rooms
⌨️ (0:49:25) Distribute candy
⌨️ (1:03:13) Seats
⌨️ (1:19:13) Assign mice to holes
⌨️ (1:24:19) Majority element
⌨️ (1:35:28) Gas station
⌨️ (1:52:39) End
--
🎉 Thanks to our Champion and Sponsor supporters:
👾 Raymond Odero
👾 Agustín Kussrow
👾 aldo ferretti
👾 Otis Morgan
👾 DeezMaster
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
- published: 27 Jun 2022
- views: 288061
13:18
What Is An Algorithm? | What Exactly Is Algorithm? | Algorithm Basics Explained | Simplilearn
🔥Full Stack Developer (MERN Stack): https://www.simplilearn.com/full-stack-developer-cours...
published: 16 Aug 2021
What Is An Algorithm? | What Exactly Is Algorithm? | Algorithm Basics Explained | Simplilearn
What Is An Algorithm? | What Exactly Is Algorithm? | Algorithm Basics Explained | Simplilearn
- Report rights infringement
- published: 16 Aug 2021
- views: 115616
🔥Full Stack Developer (MERN Stack): https://www.simplilearn.com/full-stack-developer-course-mern-certification-training?utm_campaign=SCE-FullstackIITM&utm_medium=DescriptionFF&utm_source=youtube
🔥 Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=WhatIsAnAlgorithm-cuhLSGGV-1k&utm_medium=Descriptionff&utm_source=youtube
🔥 Caltech Coding Bootcamp (US Only): https://www.simplilearn.com/coding-bootcamp?utm_campaign=WhatIsAnAlgorithm-cuhLSGGV-1k&utm_medium=Descriptionff&utm_source=youtube
🔥 Full Stack Java Developer (India Only) - https://www.simplilearn.com/java-full-stack-developer-certification-training-course?utm_campaign=WhatIsAnAlgorithm-cuhLSGGV-1k&utm_medium=Descriptionff&utm_source=youtube
This video explains what is an algorithm in the data structure. This Simplilearn's What Is An Algorithm? tutorial will help beginners to understand what exactly is an algorithm with an example. All of the algorithm basics are explained in this video.
Following topics covered in this video:
00:00 What is an Algorithm?
02:42 What Is An Algorithm? and Characteristics of an Algorithm
05:02 How to write an Algorithm?
07:23 What Is An Algorithm? and it's Analysis
08:30 What Is An Algorithm? and it's Complexity
10:45 Pros and Cons of an Algorithm
11:26 Algorithm vs Programming
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out our Data Structures training videos playlist: https://www.youtube.com/watch?v=27PdRL89A9U&list=PLEiEAq2VkUUJMxIegQ1ge1tcGskjdiwGP
#Algorithm #WhatIsAnAlgorithm #WhatExactlyIsAlgorithm #AlgorithmExplanation #AlgorithmExplained #AlgorithmBasics #AlgorithmExplanation #DataStructureTutorial #DataStructureAndAlgorithmsTutorial #DataStrcutures #Simplilearn
What is an Algorithm?
An algorithm is a finite sequence of well-defined, computer-implementable instructions used to solve a class of specific problems or perform computation in computer science. Algorithms are always clear and are used as specifications for calculations, data processing, automated reasoning, and other tasks.
What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.
➡️ About Post Graduate Program In Full Stack Web Development
This program will give you the foundation for building full-stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is the perfect time to get started on your career as a full-stack web developer!
✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 25 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- Online Convocation by Caltech CTME Program Director
- 20 lesson-end and 5 phase-end projects
- Capstone Project in 4 domains
- Caltech CTME Circle Membership
- Build your own portfolio on GitHub
✅ Skills Covered
- Agile
- JAVA
- Hibernate and JPA
- Spring Core 50
- DevOps
- HTML5 and CSS3
- AWS
- JavaScript ES6
- Servlets
- SOAP and REST
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11:44
Intro to Algorithms: Crash Course Computer Science #13
Algorithms are the sets of steps necessary to complete computation - they are at the heart...
published: 24 May 2017
Intro to Algorithms: Crash Course Computer Science #13
Intro to Algorithms: Crash Course Computer Science #13
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- published: 24 May 2017
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Algorithms are the sets of steps necessary to complete computation - they are at the heart of what our devices actually do. And this isn’t a new concept. Since the development of math itself algorithms have been needed to help us complete tasks more efficiently, but today we’re going to take a look a couple modern computing problems like sorting and graph search, and show how we’ve made them more efficient so you can more easily find cheap airfare or map directions to Winterfell... or like a restaurant or something.
Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/
CORRECTION:
In the pseudocode for selection sort at 3:09, this line:
swap array items at index and smallest
should be:
swap array items at i and smallest
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8:36
I gave 127 interviews. Top 5 Algorithms they asked me.
1. How to learn Data Structures and Algorithms?
2. The best course to learn Data Structure...
published: 17 Jun 2023
I gave 127 interviews. Top 5 Algorithms they asked me.
I gave 127 interviews. Top 5 Algorithms they asked me.
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- published: 17 Jun 2023
- views: 543431
1. How to learn Data Structures and Algorithms?
2. The best course to learn Data Structures and Algorithms in Java and Python
3. How to crack coding interview?
4. How to use Leetcode effectively?
I will answer all these questions in this video.
► Useful links:
1. Top k largest elements: https://www.geeksforgeeks.org/k-largestor-smallest-elements-in-an-array/
2. Sliding window: https://leetcode.com/problems/longest-substring-without-repeating-characters/solutions/1812/share-my-java-solution-using-hashset/
3. Combination Sum Backtracking: https://replit.com/@replitshare2/CombinationSumBacktracking#main.py
4. Combination Sum Dynamic Programming: https://replit.com/@replitshare2/CombinationSumDP#main.py
5. DFS and BFS: https://www.youtube.com/watch?v=pcKY4hjDrxk
Disclosure: Resources above are all FREE in the US. However, If you pay for a Coursera or Udacity course using our link, we get paid a small amount.
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#datastructures #datastructuresandalgorithms #leetcode #codinginterview
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5:22:09
Algorithms and Data Structures Tutorial - Full Course for Beginners
In this course you will learn about algorithms and data structures, two of the fundamental...
published: 18 Mar 2021
Algorithms and Data Structures Tutorial - Full Course for Beginners
Algorithms and Data Structures Tutorial - Full Course for Beginners
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- published: 18 Mar 2021
- views: 4313832
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science. There are three main parts to this course: algorithms, data structures, and a deep dive into sorting and searching algorithms.
By the end, you will understand what algorithms and data structures are, how they are measured and evaluated, and how they are used to solve problems.
This course was developed by Pasan Premaratne and Jay McGavren. It was made possible by a grant from teamtreehouse.com
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to Algorithms
⌨️ (1:57:44) Introduction to Data Structures
⌨️ (4:11:02) Algorithms: Sorting and Searching
⭐️ Code Snippets for Course ⭐️
💻 Introduction to Algorithms:
⌨️ Algorithms in Code:
🔗 Linear Search Implementations: https://teamtreehouse.com/library/introduction-to-algorithms/algorithms-in-code/linear-search-implementations
🔗 Binary Search Implementations: https://teamtreehouse.com/library/introduction-to-algorithms/algorithms-in-code/binary-search-implementations
💻 Introduction to Data Structures
⌨️ Exploring Arrays:
🔗 Array Characteristics and Storage: https://teamtreehouse.com/library/introduction-to-data-structures/exploring-arrays/array-characteristics-and-storage
🔗 Operations on Arrays: https://teamtreehouse.com/library/introduction-to-data-structures/exploring-arrays/operations-on-arrays
⌨️ Building a Linked List:
🔗 Singly and Doubly Linked Lists: https://teamtreehouse.com/library/introduction-to-data-structures/building-a-linked-list/singly-and-doubly-linked-lists-2
🔗 Linked List Operations: https://teamtreehouse.com/library/introduction-to-data-structures/building-a-linked-list/linked-lists-operations
⌨️ The Merge Sort Algorithm:
🔗 Merge Sort Implementations: https://teamtreehouse.com/library/introduction-to-data-structures/the-merge-sort-algorithm/merge-sort-implementations
🔗 Alternate Versions of Merge Sort: https://teamtreehouse.com/library/introduction-to-data-structures/the-merge-sort-algorithm/alternate-versions-of-merge-sort
⌨️ Merge Sort and Linked Lists:
🔗 Implementing Merge Sort on Linked Lists: https://teamtreehouse.com/library/introduction-to-data-structures/merge-sort-and-linked-lists/implementing-merge-sort-on-linked-lists
💻 Algorithms: Sorting and Searching
⌨️ Sorting Algorithms:
🔗 Code for Bogosort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-bogosort
🔗 Code for Selection Sort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-selection-sort
🔗 Code for Quicksort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-quicksort
🔗 Code for Merge Sort: https://teamtreehouse.com/library/algorithms-sorting-and-searching/sorting-algorithms/code-for-merge-sort
⌨️ Searching Names:
🔗 Code for Linear Search: https://teamtreehouse.com/library/algorithms-sorting-and-searching/searching-names/code-for-linear-search
🔗 Code for Binary Search: https://teamtreehouse.com/library/algorithms-sorting-and-searching/searching-names/code-for-binary-search
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2:30
Computer Science Basics: Algorithms
We use computers every day, but how often do we stop and think, “How do they do what they ...
published: 03 Oct 2018
Computer Science Basics: Algorithms
Computer Science Basics: Algorithms
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- published: 03 Oct 2018
- views: 497415
We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind computer science.
To view the entire playlist, visit https://www.youtube.com/playlist?list=PLpQQipWcxwt-Q9izCl0mm-QZ4seuBdUtr.
We hope you enjoy!
1:18:43
Data Structures and Algorithms for Beginners
Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutori...
published: 10 Dec 2019
Data Structures and Algorithms for Beginners
Data Structures and Algorithms for Beginners
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- published: 10 Dec 2019
- views: 1680642
Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists!
🚀 Get interview-ready with my full course: https://bit.ly/2OwNTxx
👍 Subscribe for more awesome content: https://goo.gl/6PYaGF
Need Java foundations first? Check out my tutorial: https://youtu.be/eIrMbAQSU34
✋ Stay connected:
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- Facebook: https://www.facebook.com/programmingwithmosh/
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- LinkedIn: https://www.linkedin.com/school/codewithmosh/
💡 What you'll learn:
- Big O notation for analyzing code efficiency.
- How to implement and use arrays.
- The basics of linked lists.
👉 This tutorial is perfect for you if:
- You're preparing for technical job interviews.
- You want to improve your coding fundamentals.
- You're a CS student learning these concepts.
Let's get started!
📖 TABLE OF CONTENT
0:00:00 Intro
0:01:04 What is Big O?
0:03:03 O(1)
0:04:32 O(n)
0:08:17 O(n^2)
0:10:41 O(log n)
0:13:20 O(2^n)
0:14:10 Space Complexity
0:17:53 Understanding Arrays
0:21:03 Working with Arrays
0:24:32 Exercise: Building an Array
0:27:24 Solution: Creating the Array Class
0:30:43 Solution: insert()
0:35:03 Solution: remove()
0:39:54 Solution: indexOf()
0:42:23 Dynamic Arrays
0:46:11 Linked Lists Introduction
0:46:41 What are Linked Lists?
0:51:16 Working with Linked Lists
0:54:40 Exercise: Building a Linked List
0:56:05 Solution: addLast()
1:02:15 Solution: addFirst()
1:04:28 Solution: indexOf()
1:06:23 Solution: contains()
1:07:28 Solution: removeFirst()
1:11:52 Solution: removeLast()
#ComputerScience #Coding #Programming
5:10:02
Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges
Learn how to use Dynamic Programming in this course for beginners. It can help you solve c...
published: 03 Dec 2020
Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges
Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges
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- published: 03 Dec 2020
- views: 4061148
Learn how to use Dynamic Programming in this course for beginners. It can help you solve complex programming problems, such as those often seen in programming interview questions about data structures and algorithms.
This course was developed by Alvin Zablan from Coderbyte. Coderbyte is one of the top websites for technical interview prep and coding challenges.
🔗 Check out the Coderbyte channel: https://www.youtube.com/channel/UCOJtQcnBnIy4LERo6vkrItg
🔗 Improve your coding and interview skills: https://coderbyte.com/member?promo=janpromo4351&utm_source=FCC&utm_medium=Video&utm_campaign=promo&utm_content=Dynamic%20Programming (NOT an affiliate link)
This course uses images and animations to help you visualize problems and important concepts. After understanding problems conceptually, you will learn how to solve them in JavaScript using Dynamic Programming. Even though JavaScript is used in this course, you will learn concepts and knowledge that you can apply to other programming languages.
⭐️ Course Contents ⭐️
⌨️ (00:00:00) course introduction
⌨️ (00:03:30) fib memoization
⌨️ (00:38:39) gridTraveler memoization
⌨️ (01:04:52) memoization recipe
⌨️ (01:09:56) canSum memoization
⌨️ (01:29:29) howSum memoization
⌨️ (01:52:06) bestSum memoization
⌨️ (02:12:45) canConstruct memoization
⌨️ (02:38:36) countConstruct memoization
⌨️ (02:47:30) allConstruct memoization
⌨️ (03:10:53) fib tabulation
⌨️ (03:22:17) gridTraveler tabulation
⌨️ (03:34:32) tabulation recipe
⌨️ (03:37:59) canSum tabulation
⌨️ (03:53:01) howSum tabulation
⌨️ (04:07:21) bestSum tabulation
⌨️ (04:20:50) canConstruct tabulation
⌨️ (04:38:06) countConstruct tabulation
⌨️ (04:50:23) allConstruct tabulation
⌨️ (05:07:44) closing thoughts
⭐️ Special thanks to our Champion supporters! ⭐️
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7:54
What exactly is an algorithm? Algorithms explained | BBC Ideas
What is an algorithm? You may be familiar with the idea in the context of Instagram, YouTu...
published: 26 Sep 2019
What exactly is an algorithm? Algorithms explained | BBC Ideas
What exactly is an algorithm? Algorithms explained | BBC Ideas
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- published: 26 Sep 2019
- views: 382507
What is an algorithm? You may be familiar with the idea in the context of Instagram, YouTube or Facebook, but it can feel like a big, abstract concept. Here’s presenter Jon Stroud with a step-by-step guide to what algorithms actually are, what algorithms do, and how algorithms work.
Want to find out more? Have a watch of this video next... Why algorithms are called algorithms https://www.youtube.com/watch?v=oRkNaF0QvnI
Made by Jist Studios.
Subscribe to BBC Ideas 👉 https://bbc.in/2F6ipav
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Do you have a curious mind? You’re in the right place.
Our aim on BBC Ideas is to feed your curiosity, to open your mind to new perspectives, and to leave you that little bit smarter.
So dive in. Let us know what you think. And make sure to subscribe! 👉https://bbc.in/2F6ipav
Visit our website to see all of our videos: https://www.bbc.com/ideas
And follow BBC Ideas on Twitter: https://twitter.com/bbcideas
#bbcideas #algorithm #explainervideos
0:54
Why You Need Data Structures and Algorithm Skills in Coding #programming #coding #softwareengineer
published: 11 Jun 2023
Why You Need Data Structures and Algorithm Skills in Coding #programming #coding #softwareengineer
Why You Need Data Structures and Algorithm Skills in Coding #programming #coding #softwareengineer
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- published: 11 Jun 2023
- views: 18479
1:53:09
Greedy Algorithms Tutorial – Solve Coding Challenges
Learn how to use greedy algorithms to solve coding challenges. Many tech companies want pe...
published: 27 Jun 2022
Greedy Algorithms Tutorial – Solve Coding Challenges
Greedy Algorithms Tutorial – Solve Coding Challenges
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- published: 27 Jun 2022
- views: 288061
Learn how to use greedy algorithms to solve coding challenges. Many tech companies want people to solve coding challenges during interviews and many of the challenges can be solved using a greedy algorithm. A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage.
✏️ Course from Tanishq Chaudhary. Check out his channel: https://www.youtube.com/c/TanishqChaudhary1337/
Links to coding challenges on InterviewBit:
🔗 Highest product: https://www.interviewbit.com/problems/highest-product/
🔗 Bulbs: https://www.interviewbit.com/problems/interview-questions/
🔗 Disjoint intervals: https://www.interviewbit.com/problems/disjoint-intervals/
🔗 Largest permutation: https://www.interviewbit.com/problems/largest-permutation/
🔗 Meeting rooms: https://www.interviewbit.com/problems/meeting-rooms/
🔗 Distribute candy: https://www.interviewbit.com/problems/distribute-candy/
🔗 Seats: https://www.interviewbit.com/problems/seats/
🔗 Assign mice to holes: https://www.interviewbit.com/problems/assign-mice-to-holes/
🔗 Majority element: https://www.interviewbit.com/problems/majority-element/
🔗 Gas station: https://www.interviewbit.com/problems/gas-station/
⭐️ Course contents ⭐️
⌨️ (0:00:00) Greedy introduction
⌨️ (0:04:32) Bulbs
⌨️ (0:12:11) Highest product
⌨️ (0:17:08) Disjoint intervals
⌨️ (0:28:43) Largest permutation
⌨️ (0:38:30) Meeting rooms
⌨️ (0:49:25) Distribute candy
⌨️ (1:03:13) Seats
⌨️ (1:19:13) Assign mice to holes
⌨️ (1:24:19) Majority element
⌨️ (1:35:28) Gas station
⌨️ (1:52:39) End
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Algorithm
In mathematics and computer science, an algorithm (i/ˈælɡərɪðəm/ AL-gə-ri-dhəm) is a self-contained step-by-step set of operations to be performed. Algorithms exist that perform calculation, data processing, and automated reasoning.
The words 'algorithm' and 'algorism' come from the name al-Khwārizmī. Al-Khwārizmī (Persian: خوارزمي, c. 780-850) was a Persian mathematician, astronomer, geographer, and scholar.
An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing "output" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Algorithm
What Is An Algorithm? | What Exactly Is Algorithm?...
Intro to Algorithms: Crash Course Computer Science...
I gave 127 interviews. Top 5 Algorithms they asked...
Algorithms and Data Structures Tutorial - Full Cou...
Computer Science Basics: Algorithms...
Data Structures and Algorithms for Beginners...
Dynamic Programming - Learn to Solve Algorithmic P...
What exactly is an algorithm? Algorithms explained...
Why You Need Data Structures and Algorithm Skills ...
Greedy Algorithms Tutorial – Solve Coding Challeng...
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The social media platform's algorithm (the complex code that determines what content shows up in a user's feed) had predominantly favored outrage, as content that provokes a negative reaction is more ...
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Wells and Ray Bradbury at telling a story ... Simpson. (READ MORE. On Abortion, Trump Has Gravely Erred) ... Computer scientists and executives at OpenAI and Meta don’t necessarily have a way with words; instead, they have a way with algorithms and code.
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