Courses
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Contents
- 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
Compilers
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
Cryptography
CSS
- CSS Grid by Wes Bos
π
Decentralized systems
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
Functional programming
- Course in functional programming by KTH
π - Functional Programming Course
π - Programming paradigms (2018) π
- Functional Programming in OCaml (2019)
Game development
Haskell
- Advanced Programming (2017) π
- Haskell ITMO (2017)
π - Introduction to Haskell (2016)
π - Stanford functional systems in Haskell (2014)
π
Investing
iOS
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 (2014)
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
Natural Language Processing
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
Rust
Scala
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
Type theory
Vim
- Vim valley
π°
Web Development
Related
- Awesome artificial intelligence
π - Awesome courses
π - CS video courses
π - Data science courses
π - Dive into machine learning
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