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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
π°
Algorithms (2010)
- Taught by Manuel Blum who has a Turing Award due to his contributions to algorithms. π
Algorithms specialization
Algorithms: Part 1
π
Algorithms: Part 2
π
Data structures (2016)
π
Data structures (2017)
π
Design and analysis of algorithms (2012)
π
Evolutionary computation (2014)
π
Introduction to programming contests (2012)
π
MIT advanced data structures (2014)
π
MIT introduction to algorithms
π
Artificial Intelligence
Berkeley intro to ai (2014)
π
MIT artificial intelligence (2010)
π
The society of mind (2011)
π
Business
Gamification
π°
Chemistry
Bioinformatics specialization
π°
Compilers
Principles of compiler design (2016)
π
Stanford compiler construction (2016)
π
Computer Science
Computational complexity (2008)
π
Computer science 101
π
Data structures
π°
Great ideas in computer architecture (2015)
π
Information retrieval (2013)
π
MIT great ideas in theoretical computer science
π
MIT Mathematics for Computer Science (2010)
π
MIT Structure and Interpretation of Programs (1986)
π
Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity (2018)
π
Software foundations (2014)
π
The art of recursion (2012)
π
Computer vision
Computer vision
π
Introduction to computer vision (2015)
π
Programming computer vision with python (2012)
π
Cryptocurrency
Bitcoin and Cryptocurrency Technologies
π
Cryptography
Stanford cryptography I
π°
Stanford cryptography II (2017)
π°
CSS
CSS Grid by Wes Bos
π
Decentralized systems
MIT Decentralized Applications (2018)
π
Deep Learning
Advanced Deep Learning & Reinforcement Learning (2018)
π
Berkeley deep reinforcement learning (2017)
π
Deep learning (2017)
π
Stanford natural language processing with deep learning (2017)
π
Deep learning at Oxford (2015)
π
Lectures
π
Oxford CS Deep NLP (2017)
π
Ucl reinforcement learning (2015)
Stanford convolutional neural networks for visual recognition
π
Stanford deep learning for natural language processing
π
Discrete math
Discrete Mathematics and Probability Theory
π
Functional programming
Course in functional programming by KTH
π
Functional Programming Course
π
Programming paradigms (2018)
π
Functional Programming in OCaml (2019)
Game development
HTML5 game development
π
Haskell
Advanced Programming (2017)
π
Haskell ITMO (2017)
π
Introduction to Haskell (2016)
π
Stanford functional systems in Haskell (2014)
π
Investing
Computational investing
π°
iOS
Developing iOS 10 apps with Swift (2017)
π
Machine learning
MIT Deep Learning (2019)
Amazonβs Machine Learning University course (2018)
π
Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization
- Get hands-on experience optimizing, deploying, and scaling production ML models. π°
Artificial intelligence for robotics
π
Coursera machine learning
π°
Introduction to Deep Learning (2018)
- Introductory course on deep learning algorithms and their applications. π
Introduction to Machine Learning for Coders
- The course covers the most important practical foundations for modern machine learning. π
Introduction to matrix methods (2015)
π
Learning from data (2012)
π
Machine Learning Crash Course (2018)
- Google's fast-paced, practical introduction to machine learning. π
Machine learning for data science (2015)
π
Machine learning in Python with scikit-learn
π
Machine Learning with TensorFlow on Google Cloud Platform Specialization
- Learn ML with Google Cloud. Real-world experimentation with end-to-end ML. π°
Mathematics of Deep Learning, NYU, Spring (2018)
π
mlcourse.ai
- Open Machine Learning course by OpenDataScience. π
Neural networks for machine learning
π°
Notes
π
Practical Deep Learning For Coders (2018)
- Learn how to build state of the art models without needing graduate-level math. π
Statistical learning (2015)
π
Tensorflow for deep learning research (2017)
π
Math
Abstract algebra (2019)
π
MIT linear algebra (2010)
π
MIT multivariable calculus (2007)
π
MIT multivariable calculus by Prof. Denis Auroux
π
MIT multivariable control systems (2004)
π
MIT singlevariable calculus (2006)
π
Nonlinear dynamics and chaos (2014)
π
Stanford mathematical foundations of computing (2016)
π
Types, Logic, and Verification (2013)
Networking
Introduction to computer networking
π
Introduction to EECS II: digital communication systems (2012)
π
Neuroscience
The Human Brain (2018)
π
Natural Language Processing
YSDA Natural Language Processing course (2018)
π
Operating systems
Computer Science 162
π
Computer science from the bottom up
π
How to make a computer operating system (2015)
π
Operating system engineering
π
Programming
Build a modern computer from first principles: from nand to tetris
π°
Introduction to programming with matlab
π°
MIT software construction (2016)
π
MIT structure and interpretation of computer programs (2005)
π
Stanford C Programming
π
Structure and interpretation of computer programs (in Python) (2017)
π
Unix tools and scripting (2014)
π
Composing Programs
- Free online introduction to programming and computer science.
React
Advanced React Patterns (2017)
π
Beginner's guide to React (2017)
π
Survive JS: React, From apprentice to master
π
Building React Applications with Idiomatic Redux
π
Building React Applications with Redux
π
Complete intro to React v4 (2018)
π
Leverage New Features of React 16 (2018)
π
React Holiday (2017)
- React through examples. π
ReasonML
Get Started with Reason (2018)
π
Rust
Rust programming (2016)
π
Scala
Functional programming principles in scala
π°
Security
Computer and network security (2013)
π
Hacker101 (2018)
- Free class for web security. π
Statistics
Introduction to probability - the science of uncertainty
π
MIT probabilistic systems analysis and applied probability (2010)
π
Statistical Learning (2016)
π
Statistics 110
π
Swift
Hacking with Swift (2018)
π
Type theory
Homotopy Type Theory (2014)
π
Vim
Vim valley
π°
Web Development
Cutting-edge web technologies (2015)
π
Interactive Flexbox course (2018)
π
Related
Awesome artificial intelligence
π
Awesome courses
π
CS video courses
π
Data science courses
π
Dive into machine learning
π
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