Learn Anything | Massive Courses Resources ⭐

[SaM]

Courses

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• Algorithms
• Artificial Intelligence
• Business
• Chemistry
• Compilers
• Computer Science
• Computer vision
• Cryptocurrency
• Cryptography
• CSS
• Decentralized systems
• Deep Learning
• Discrete math
• Functional programming
• Game development
• Haskell
• Investing
• iOS
• Machine learning
• Math
• Networking
• Neuroscience
• Natural Language Processing
• Operating systems
• Programming
• React
• ReasonML
• Rust
• Scala
• Security
• Statistics
• Swift
• Type theory
• Vim
• Web Development
• Related

Algorithms

• Algorithmic thinking
• Algorithms (2010) - Taught by Manuel Blum who has a Turing Award due to his contributions to algorithms.
• Algorithms specialization
• Algorithms: Part 1
• Algorithms: Part 2
• Data structures (2016)
• Data structures (2017)
• Design and analysis of algorithms (2012)
• Evolutionary computation (2014)
• Introduction to programming contests (2012)
• MIT advanced data structures (2014)
• MIT introduction to algorithms

Artificial Intelligence

• Berkeley intro to ai (2014)
• MIT artificial intelligence (2010)
• The society of mind (2011)

Business

• Gamification

Chemistry

• Bioinformatics specialization

Compilers

• Principles of compiler design (2016)
• Stanford compiler construction (2016)

Computer Science

• Computational complexity (2008)
• Computer science 101
• Data structures
• Great ideas in computer architecture (2015)
• Information retrieval (2013)
• MIT great ideas in theoretical computer science
• MIT Mathematics for Computer Science (2010)
• MIT Structure and Interpretation of Programs (1986)
• Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity (2018)
• Software foundations (2014)
• The art of recursion (2012)

Computer vision

• Computer vision
• Introduction to computer vision (2015)
• Programming computer vision with python (2012)

Cryptocurrency

• Bitcoin and Cryptocurrency Technologies

Cryptography

• Stanford cryptography I
• Stanford cryptography II (2017)

CSS

• CSS Grid by Wes Bos

Decentralized systems

• MIT Decentralized Applications (2018)

Deep Learning

• Advanced Deep Learning & Reinforcement Learning (2018)
• Berkeley deep reinforcement learning (2017)
• Deep learning (2017)
• Stanford natural language processing with deep learning (2017)
• Deep learning at Oxford (2015)
• Lectures
• Oxford CS Deep NLP (2017)
• Ucl reinforcement learning (2015)
• Stanford convolutional neural networks for visual recognition
• Stanford deep learning for natural language processing

Discrete math

• Discrete Mathematics and Probability Theory

Functional programming

• Course in functional programming by KTH
• Functional Programming Course
• Programming paradigms (2018)
• Functional Programming in OCaml (2019)

Game development

• HTML5 game development

Haskell

• Advanced Programming (2017)
• Haskell ITMO (2017)
• Introduction to Haskell (2016)
• Stanford functional systems in Haskell (2014)

Investing

• Computational investing

iOS

• Developing iOS 10 apps with Swift (2017)

Machine learning

• MIT Deep Learning (2019)
• Amazon’s Machine Learning University course (2018)
• Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization - Get hands-on experience optimizing, deploying, and scaling production ML models.
• Artificial intelligence for robotics
• Coursera machine learning
• Introduction to Deep Learning (2018) - Introductory course on deep learning algorithms and their applications.
• Introduction to Machine Learning for Coders - The course covers the most important practical foundations for modern machine learning.
• Introduction to matrix methods (2015)
• Learning from data (2012)
• Machine Learning Crash Course (2018) - Google’s fast-paced, practical introduction to machine learning.
• Machine learning for data science (2015)
• Machine learning in Python with scikit-learn
• Machine Learning with TensorFlow on Google Cloud Platform Specialization - Learn ML with Google Cloud. Real-world experimentation with end-to-end ML.
• Mathematics of Deep Learning, NYU, Spring (2018)
• mlcourse.ai - Open Machine Learning course by OpenDataScience.
• Neural networks for machine learning
• Notes
• Practical Deep Learning For Coders (2018) - Learn how to build state of the art models without needing graduate-level math.
• Statistical learning (2015)
• Tensorflow for deep learning research (2017)

Math

• Abstract algebra (2019)
• MIT linear algebra (2010)
• MIT multivariable calculus (2007)
• MIT multivariable calculus by Prof. Denis Auroux
• MIT multivariable control systems (2004)
• MIT singlevariable calculus (2006)
• Nonlinear dynamics and chaos (2014)
• Stanford mathematical foundations of computing (2016)
• Types, Logic, and Verification (2013)

Networking

• Introduction to computer networking
• Introduction to EECS II: digital communication systems (2012)

Neuroscience

• The Human Brain (2018)

Natural Language Processing

• YSDA Natural Language Processing course (2018)

Operating systems

• Computer Science 162
• Computer science from the bottom up
• How to make a computer operating system (2015)
• Operating system engineering

Programming

• Build a modern computer from first principles: from nand to tetris
• Introduction to programming with matlab
• MIT software construction (2016)
• MIT structure and interpretation of computer programs (2005)
• Stanford C Programming
• Structure and interpretation of computer programs (in Python) (2017)
• Unix tools and scripting (2014)
• Composing Programs - Free online introduction to programming and computer science.

React

• Advanced React Patterns (2017)
• Beginner’s guide to React (2017)
• Survive JS: React, From apprentice to master
• Building React Applications with Idiomatic Redux
• Building React Applications with Redux
• Complete intro to React v4 (2018)
• Leverage New Features of React 16 (2018)
• React Holiday (2017) - React through examples.

ReasonML

• Get Started with Reason (2018)

Rust

• Rust programming (2016)

Scala

• Functional programming principles in scala

Security

• Computer and network security (2013)
• Hacker101 (2018) - Free class for web security.

Statistics

• Introduction to probability - the science of uncertainty
• MIT probabilistic systems analysis and applied probability (2010)
• Statistical Learning (2016)
• Statistics 110

Swift

• Hacking with Swift (2018)

Type theory

• Homotopy Type Theory (2014)

Vim

• Vim valley

Web Development

• Cutting-edge web technologies (2015)
• Interactive Flexbox course (2018)

Related

• Awesome artificial intelligence
• Awesome courses
• CS video courses
• Data science courses
• Dive into machine learning

Source: GitHub

ENJOY & HAPPY LEARNING!

[surya77]

Thank you so very much!

[slimjval]

thanks so much. you’re the bestEST

[quick-learner]

thanks for this massive list sam, you the man, will help many peoples.

[Huteng_Batute]

Thank you very much Chief @SaM