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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
-
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
-
Introduction to Algorithms
Algorithms: Introduction to Algorithms
Topics discussed:
1. What is an Algorithm?
2. Syllabus for Design and Analysis of Algorithms.
3. Target Audience of the course.
Algorithm Playlist: https://www.youtube.com/playlist?list=PLBlnK6fEyqRhoF3cPp0mgOZPuXeu84nAd
Follow Neso Academy on Instagram: @nesoacademy (https://bit.ly/2XP63OE)
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Music:
Axol x Alex Skrindo - You [NCS Release]
#AlgorithmsByNeso #Algorithms #IntroductionToAlgorithms
published: 14 Jan 2024
-
1. Introduction to Algorithms
Introduction to Algorithms
Introduction to course.
Why we write Algorithm?
Who writes Algorithm?
When Algorithms are written?
Differences between Algorithms and Programs
PATREON : https://www.patreon.com/bePatron?u=20475192
Courses on Udemy
================
Java Programming
https://www.udemy.com/course/java-se-programming/?referralCode=C71BADEAA4E7332D62B6
Data Structures using C and C++
https://www.udemy.com/course/datastructurescncpp/?referralCode=BD2EF8E61A98AB5E011D
C++ Programming
https://www.udemy.com/course/cpp-deep-dive/?referralCode=E4246A516919D7E84225
published: 18 Jan 2018
-
What Is An Algorithm? | What Exactly Is Algorithm? | Algorithm Basics Explained | Simplilearn
🔥 IITM Pravartak Professional Certificate Program In Full Stack Development - MERN (India Only): https://www.simplilearn.com/full-stack-developer-course-and-certification-iitm-pravartak?utm_campaign=SCE-FullstackIITM&utm_medium=DescriptionFF&utm_source=youtube
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published: 16 Aug 2021
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1. Algorithms and Computation
MIT 6.006 Introduction to Algorithms, Spring 2020
Instructor: Jason Ku
View the complete course: https://ocw.mit.edu/6-006S20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY
The goal of this introductions to algorithms class is to teach you to solve computation problems and communication that your solutions are correct and efficient. Models of computation, data structures, and algorithms are introduced.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and ma...
published: 13 Sep 2021
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Algorithms Explained for Beginners - How I Wish I Was Taught
Check out Algorithms to Live By and receive an additional 20% discount on the annual subscription at https://shortform.com/internetmade
⚡️ My Data Structures & Algorithms Course - https://academy.internetmadecoder.com/algo-uni
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⌨️ CS50 algorithms lecture - https://www.youtube.com/watch?v=yb0PY3LX2x8&t=1211s
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📈 Sorting algorithm visualizer - https://github.com/tu...
published: 15 Oct 2022
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Lecture 1: Algorithmic Thinking, Peak Finding
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Srini Devadas
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
published: 14 Jan 2013
-
Data Science For Beginners| Data Science Tutorial | Data Science With Python | Edureka
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐖𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞(USE CODE 'YOUTUBE20'): https://www.edureka.co/data-science-python-certification-course
Explore the key concepts of data science that will help you build a successful future in your data science career. This ""Data Science for Beginners"" video targets individuals eager to embark on their data science journey, providing a comprehensive overview of core concepts. It encompasses an introduction to data science, real-life illustrations, insights into the roles and responsibilities of data scientists, discussions on data and information, and practical tutorials on model building.
✅00:00 - Introduction to Data Science
✅03:44 - Real-Life Examples of Data Science
✅05:14 - AI v/s ML v/s DL v/s Data Science
✅06:13 - Roles of Data Scientist
✅...
published: 01 Mar 2024
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An Introduction to Algorithms
Algorithms, loosely translated, are systems for doing things. Algorithms are thus the link from pre-history to the modern world – without algorithms we would have an inanimate universe without all the mess and complexity of real life. It turns out that the history of algorithms is messy.
There are also general theories of algorithms, and those ideas are not messy at all; they are very beautiful, powerful and should be required reading for the internet age.
A lecture by Richard Harv
The transcript and downloadable versions of the lecture are available from the Gresham College website:
http://www.gresham.ac.uk/lectures-and-events/algorithms-intro
Gresham College has offered free public lectures for over 400 years, thanks to the generosity of our supporters. There are currently over 2,...
published: 23 Oct 2020
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 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?
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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
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Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids
- published: 24 May 2017
- views: 1720925
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 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
--
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/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: 4250290
6:54
Introduction to Algorithms
Algorithms: Introduction to Algorithms
Topics discussed:
1. What is an Algorithm?
2. Syllabus for Design and Analysis of Algorithms.
3. Target Audience of the c...
Algorithms: Introduction to Algorithms
Topics discussed:
1. What is an Algorithm?
2. Syllabus for Design and Analysis of Algorithms.
3. Target Audience of the course.
Algorithm Playlist: https://www.youtube.com/playlist?list=PLBlnK6fEyqRhoF3cPp0mgOZPuXeu84nAd
Follow Neso Academy on Instagram: @nesoacademy (https://bit.ly/2XP63OE)
Contribute: https://www.nesoacademy.org/donate
Memberships: https://bit.ly/2U7YSPI
Books: https://www.nesoacademy.org/recommended-books
Website ► https://www.nesoacademy.org/
App ► https://play.google.com/store/apps/details?id=org.nesoacademy
Facebook ► https://goo.gl/Nt0PmB
Twitter (X) ► https://twitter.com/nesoacademy
Music:
Axol x Alex Skrindo - You [NCS Release]
#AlgorithmsByNeso #Algorithms #IntroductionToAlgorithms
https://wn.com/Introduction_To_Algorithms
Algorithms: Introduction to Algorithms
Topics discussed:
1. What is an Algorithm?
2. Syllabus for Design and Analysis of Algorithms.
3. Target Audience of the course.
Algorithm Playlist: https://www.youtube.com/playlist?list=PLBlnK6fEyqRhoF3cPp0mgOZPuXeu84nAd
Follow Neso Academy on Instagram: @nesoacademy (https://bit.ly/2XP63OE)
Contribute: https://www.nesoacademy.org/donate
Memberships: https://bit.ly/2U7YSPI
Books: https://www.nesoacademy.org/recommended-books
Website ► https://www.nesoacademy.org/
App ► https://play.google.com/store/apps/details?id=org.nesoacademy
Facebook ► https://goo.gl/Nt0PmB
Twitter (X) ► https://twitter.com/nesoacademy
Music:
Axol x Alex Skrindo - You [NCS Release]
#AlgorithmsByNeso #Algorithms #IntroductionToAlgorithms
- published: 14 Jan 2024
- views: 10559
11:49
1. Introduction to Algorithms
Introduction to Algorithms
Introduction to course.
Why we write Algorithm?
Who writes Algorithm?
When Algorithms are written?
Differences between Algorithms ...
Introduction to Algorithms
Introduction to course.
Why we write Algorithm?
Who writes Algorithm?
When Algorithms are written?
Differences between Algorithms and Programs
PATREON : https://www.patreon.com/bePatron?u=20475192
Courses on Udemy
================
Java Programming
https://www.udemy.com/course/java-se-programming/?referralCode=C71BADEAA4E7332D62B6
Data Structures using C and C++
https://www.udemy.com/course/datastructurescncpp/?referralCode=BD2EF8E61A98AB5E011D
C++ Programming
https://www.udemy.com/course/cpp-deep-dive/?referralCode=E4246A516919D7E84225
https://wn.com/1._Introduction_To_Algorithms
Introduction to Algorithms
Introduction to course.
Why we write Algorithm?
Who writes Algorithm?
When Algorithms are written?
Differences between Algorithms and Programs
PATREON : https://www.patreon.com/bePatron?u=20475192
Courses on Udemy
================
Java Programming
https://www.udemy.com/course/java-se-programming/?referralCode=C71BADEAA4E7332D62B6
Data Structures using C and C++
https://www.udemy.com/course/datastructurescncpp/?referralCode=BD2EF8E61A98AB5E011D
C++ Programming
https://www.udemy.com/course/cpp-deep-dive/?referralCode=E4246A516919D7E84225
- published: 18 Jan 2018
- views: 4575457
13:18
What Is An Algorithm? | What Exactly Is Algorithm? | Algorithm Basics Explained | Simplilearn
🔥 IITM Pravartak Professional Certificate Program In Full Stack Development - MERN (India Only): https://www.simplilearn.com/full-stack-developer-course-and-cer...
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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.
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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!
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- 20 lesson-end and 5 phase-end projects
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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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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
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#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.
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- published: 16 Aug 2021
- views: 106532
45:39
1. Algorithms and Computation
MIT 6.006 Introduction to Algorithms, Spring 2020
Instructor: Jason Ku
View the complete course: https://ocw.mit.edu/6-006S20
YouTube Playlist: https://www.yout...
MIT 6.006 Introduction to Algorithms, Spring 2020
Instructor: Jason Ku
View the complete course: https://ocw.mit.edu/6-006S20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY
The goal of this introductions to algorithms class is to teach you to solve computation problems and communication that your solutions are correct and efficient. Models of computation, data structures, and algorithms are introduced.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
https://wn.com/1._Algorithms_And_Computation
MIT 6.006 Introduction to Algorithms, Spring 2020
Instructor: Jason Ku
View the complete course: https://ocw.mit.edu/6-006S20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY
The goal of this introductions to algorithms class is to teach you to solve computation problems and communication that your solutions are correct and efficient. Models of computation, data structures, and algorithms are introduced.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
- published: 13 Sep 2021
- views: 1225507
17:38
Algorithms Explained for Beginners - How I Wish I Was Taught
Check out Algorithms to Live By and receive an additional 20% discount on the annual subscription at https://shortform.com/internetmade
⚡️ My Data Structures &...
Check out Algorithms to Live By and receive an additional 20% discount on the annual subscription at https://shortform.com/internetmade
⚡️ My Data Structures & Algorithms Course - https://academy.internetmadecoder.com/algo-uni
🚀 My Course to Become a $110k Python Developer - https://bit.ly/3NAv5cq
⌨️ CS50 algorithms lecture - https://www.youtube.com/watch?v=yb0PY3LX2x8&t=1211s
➕ Zero to Mastery Master the Coding Interview Course. Use Code FRIENDS10 for 10% off - https://academy.zerotomastery.io/a/aff_nqb6sg6w/external?affcode=441520_vhlt5jy9
➕Algorithms - Princeton (Coursera) - https://imp.i384100.net/2rz00z
✖️Algorithms - Stanford (Coursera) - https://imp.i384100.net/Ryqdd9
📗 Cracking the Coding Interview - https://amzn.to/3i8B8EK
📈 Sorting algorithm visualizer - https://github.com/tuomaskivioja/SortingAlgorithmsVisualized
Why do we even care about algorithms? Why do tech companies base their coding interviews on algorithms and data structures? Why are algorithms such an integral part of computer science?
In this video I want to give you the WHY of algorithms and data structures so that you can be more excited to study algorithms and solve coding problems.
I also give a step-by-step plan to master and crack the coding interview as a software engineer.
MY FREE CLASS:
🚀 How to Successfully Learn to Code and Become a Software Developer - A Step-by-Step Framework - https://skl.sh/3WvgSzZ
📸 FOLLOW ME ON INSTAGRAM - https://www.instagram.com/tuomaskivioja/
OTHER VIDEOS YOU SHOULD WATCH
💻 How I'm Studying Data Structures & Algorithms (as self taught) - https://youtu.be/eiQzzMt-J3Y
⌨️ Data Structures Explained for Beginners - How I Wish I was Taught - https://youtu.be/SFEROgwxicA
🖱 CS50 FULL REVIEW - Best Course to Learn Computer Science in 2022? (edX, Harvard) - https://youtu.be/-Zj1kepwRuw
MORE RESOURCES:
CODING RESOURCES
💰 MY FAVOURITE CODING COURSES. Use Code FRIENDS10 for 10% off - https://academy.zerotomastery.io/a/aff_r1613hhr/external?affcode=441520_vhlt5jy9
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CHAPTERS:
0:00 The amazing world of algorithms
1:46 But...what even is an algorithm?
2:45 Book recommendation + Shortform sponsor
4:14 Why we need to care about algorithms
6:00 How to analyze algorithms - running time & "Big O"
10:50 Optimizing our algorithm
13:25 Sorting algorithm runtimes visualized
14:30 Full roadmap & Resources to learn Algorithms
WHO AM I?
On this channel, my aim is to give you the tools, strategies and methods to learn to code effectively - according to science! In addition, I document my life as a self-taught software engineer.
DISCLAIMER: some of the links in the description may be affiliate links. If you purchase a product or service using the links that I provide I may receive a small commission. This is no extra charge to you! Thanks for supporting Internet Made Coder :)
https://wn.com/Algorithms_Explained_For_Beginners_How_I_Wish_I_Was_Taught
Check out Algorithms to Live By and receive an additional 20% discount on the annual subscription at https://shortform.com/internetmade
⚡️ My Data Structures & Algorithms Course - https://academy.internetmadecoder.com/algo-uni
🚀 My Course to Become a $110k Python Developer - https://bit.ly/3NAv5cq
⌨️ CS50 algorithms lecture - https://www.youtube.com/watch?v=yb0PY3LX2x8&t=1211s
➕ Zero to Mastery Master the Coding Interview Course. Use Code FRIENDS10 for 10% off - https://academy.zerotomastery.io/a/aff_nqb6sg6w/external?affcode=441520_vhlt5jy9
➕Algorithms - Princeton (Coursera) - https://imp.i384100.net/2rz00z
✖️Algorithms - Stanford (Coursera) - https://imp.i384100.net/Ryqdd9
📗 Cracking the Coding Interview - https://amzn.to/3i8B8EK
📈 Sorting algorithm visualizer - https://github.com/tuomaskivioja/SortingAlgorithmsVisualized
Why do we even care about algorithms? Why do tech companies base their coding interviews on algorithms and data structures? Why are algorithms such an integral part of computer science?
In this video I want to give you the WHY of algorithms and data structures so that you can be more excited to study algorithms and solve coding problems.
I also give a step-by-step plan to master and crack the coding interview as a software engineer.
MY FREE CLASS:
🚀 How to Successfully Learn to Code and Become a Software Developer - A Step-by-Step Framework - https://skl.sh/3WvgSzZ
📸 FOLLOW ME ON INSTAGRAM - https://www.instagram.com/tuomaskivioja/
OTHER VIDEOS YOU SHOULD WATCH
💻 How I'm Studying Data Structures & Algorithms (as self taught) - https://youtu.be/eiQzzMt-J3Y
⌨️ Data Structures Explained for Beginners - How I Wish I was Taught - https://youtu.be/SFEROgwxicA
🖱 CS50 FULL REVIEW - Best Course to Learn Computer Science in 2022? (edX, Harvard) - https://youtu.be/-Zj1kepwRuw
MORE RESOURCES:
CODING RESOURCES
💰 MY FAVOURITE CODING COURSES. Use Code FRIENDS10 for 10% off - https://academy.zerotomastery.io/a/aff_r1613hhr/external?affcode=441520_vhlt5jy9
💵 GET THE SKILLS YOU NEED FOR A $100K TECH CAREER IN JUST 3 MONTHS - https://imp.i115008.net/c/3259109/786224/11298
🐍 BEST PYTHON COURSE - https://academy.zerotomastery.io/a/aff_yp0m7fjx/external?affcode=441520_vhlt5jy9
CHAPTERS:
0:00 The amazing world of algorithms
1:46 But...what even is an algorithm?
2:45 Book recommendation + Shortform sponsor
4:14 Why we need to care about algorithms
6:00 How to analyze algorithms - running time & "Big O"
10:50 Optimizing our algorithm
13:25 Sorting algorithm runtimes visualized
14:30 Full roadmap & Resources to learn Algorithms
WHO AM I?
On this channel, my aim is to give you the tools, strategies and methods to learn to code effectively - according to science! In addition, I document my life as a self-taught software engineer.
DISCLAIMER: some of the links in the description may be affiliate links. If you purchase a product or service using the links that I provide I may receive a small commission. This is no extra charge to you! Thanks for supporting Internet Made Coder :)
- published: 15 Oct 2022
- views: 301997
53:22
Lecture 1: Algorithmic Thinking, Peak Finding
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Srini Devadas
License: Creative Commons BY-NC...
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Srini Devadas
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
https://wn.com/Lecture_1_Algorithmic_Thinking,_Peak_Finding
MIT 6.006 Introduction to Algorithms, Fall 2011
View the complete course: http://ocw.mit.edu/6-006F11
Instructor: Srini Devadas
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
- published: 14 Jan 2013
- views: 5390163
15:34
Data Science For Beginners| Data Science Tutorial | Data Science With Python | Edureka
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐖𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞(USE CODE 'YOUTUBE20'): https://www.edureka.co/data-science-python-certification-course
Explore the key ...
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐖𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞(USE CODE 'YOUTUBE20'): https://www.edureka.co/data-science-python-certification-course
Explore the key concepts of data science that will help you build a successful future in your data science career. This ""Data Science for Beginners"" video targets individuals eager to embark on their data science journey, providing a comprehensive overview of core concepts. It encompasses an introduction to data science, real-life illustrations, insights into the roles and responsibilities of data scientists, discussions on data and information, and practical tutorials on model building.
✅00:00 - Introduction to Data Science
✅03:44 - Real-Life Examples of Data Science
✅05:14 - AI v/s ML v/s DL v/s Data Science
✅06:13 - Roles of Data Scientist
✅08:08 - Understanding Data and Information
✅09:08 - Model Building and Algorithms
✅11:38 - Hands-on Model Building Tutorial
✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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- - - - - - - - - - - - - -
What is Python for Data Science?
Data is everywhere, and data science will help us extract it. Python has been used to implement numerous data science applications. Python is a generic programming language for creating websites, backend APIs, and scripting. Python's built-in libraries, frameworks, and tools can be used to execute various data science activities.
- - - - - - - - - - - - - -
Why should I learn Data Science with Python Course?
Python is unquestionably one of the most popular data science languages, capable of data analysis, manipulation, and visualization. It has access to many of Data Science libraries, making it ideal for designing applications and applying algorithms.
- - - - - - - - - - - - - -
What skills should a Data Science Expert know?
A Data Science Expert should have a combination of technical and non-technical skills, Here are the required Data scientists skills:
1) Strong programming skills in languages like Python, R, and SQL.
2) Proficiency in statistical analysis, machine learning, and data visualization techniques.
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6) Knowledge of software engineering principles for building scalable and maintainable data pipelines.
7) Continual learning mindset to keep up with the latest trends and technologies in the field.
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: +18338555775 (toll-free)."
https://wn.com/Data_Science_For_Beginners|_Data_Science_Tutorial_|_Data_Science_With_Python_|_Edureka
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐖𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞(USE CODE 'YOUTUBE20'): https://www.edureka.co/data-science-python-certification-course
Explore the key concepts of data science that will help you build a successful future in your data science career. This ""Data Science for Beginners"" video targets individuals eager to embark on their data science journey, providing a comprehensive overview of core concepts. It encompasses an introduction to data science, real-life illustrations, insights into the roles and responsibilities of data scientists, discussions on data and information, and practical tutorials on model building.
✅00:00 - Introduction to Data Science
✅03:44 - Real-Life Examples of Data Science
✅05:14 - AI v/s ML v/s DL v/s Data Science
✅06:13 - Roles of Data Scientist
✅08:08 - Understanding Data and Information
✅09:08 - Model Building and Algorithms
✅11:38 - Hands-on Model Building Tutorial
✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
📝Feel free to share your comments below.📝
𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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What is Python for Data Science?
Data is everywhere, and data science will help us extract it. Python has been used to implement numerous data science applications. Python is a generic programming language for creating websites, backend APIs, and scripting. Python's built-in libraries, frameworks, and tools can be used to execute various data science activities.
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Why should I learn Data Science with Python Course?
Python is unquestionably one of the most popular data science languages, capable of data analysis, manipulation, and visualization. It has access to many of Data Science libraries, making it ideal for designing applications and applying algorithms.
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What skills should a Data Science Expert know?
A Data Science Expert should have a combination of technical and non-technical skills, Here are the required Data scientists skills:
1) Strong programming skills in languages like Python, R, and SQL.
2) Proficiency in statistical analysis, machine learning, and data visualization techniques.
3) Knowledge of data structures, algorithms, and database systems.
4) Strong problem-solving skills and ability to work with large and complex datasets.
5) Understanding of business processes and ability to communicate effectively with stakeholders.
6) Knowledge of software engineering principles for building scalable and maintainable data pipelines.
7) Continual learning mindset to keep up with the latest trends and technologies in the field.
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: +18338555775 (toll-free)."
- published: 01 Mar 2024
- views: 540
1:05:38
An Introduction to Algorithms
Algorithms, loosely translated, are systems for doing things. Algorithms are thus the link from pre-history to the modern world – without algorithms we would ha...
Algorithms, loosely translated, are systems for doing things. Algorithms are thus the link from pre-history to the modern world – without algorithms we would have an inanimate universe without all the mess and complexity of real life. It turns out that the history of algorithms is messy.
There are also general theories of algorithms, and those ideas are not messy at all; they are very beautiful, powerful and should be required reading for the internet age.
A lecture by Richard Harv
The transcript and downloadable versions of the lecture are available from the Gresham College website:
http://www.gresham.ac.uk/lectures-and-events/algorithms-intro
Gresham College has offered free public lectures for over 400 years, thanks to the generosity of our supporters. There are currently over 2,500 lectures free to access. We believe that everyone should have the opportunity to learn from some of the greatest minds. To support Gresham's mission, please consider making a donation: https://gresham.ac.uk/support/
https://wn.com/An_Introduction_To_Algorithms
Algorithms, loosely translated, are systems for doing things. Algorithms are thus the link from pre-history to the modern world – without algorithms we would have an inanimate universe without all the mess and complexity of real life. It turns out that the history of algorithms is messy.
There are also general theories of algorithms, and those ideas are not messy at all; they are very beautiful, powerful and should be required reading for the internet age.
A lecture by Richard Harv
The transcript and downloadable versions of the lecture are available from the Gresham College website:
http://www.gresham.ac.uk/lectures-and-events/algorithms-intro
Gresham College has offered free public lectures for over 400 years, thanks to the generosity of our supporters. There are currently over 2,500 lectures free to access. We believe that everyone should have the opportunity to learn from some of the greatest minds. To support Gresham's mission, please consider making a donation: https://gresham.ac.uk/support/
- published: 23 Oct 2020
- views: 8835