courses

Awesome Courses
https://github.com/linsa-io/courses

Last synced: 5 days ago
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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
- Algorithms (2010) - Taught by Manuel Blum who has a Turing Award due to his contributions to algorithms. 🆓
- Data structures (2016)
- Data structures (2017)
- Introduction to programming contests (2012)
- Data structures (2017)
- MIT advanced data structures (2014)
- Design and analysis of algorithms (2012)
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
- 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)
- MIT Mathematics for Computer Science (2010)
- Great ideas in computer architecture (2015)
- Information retrieval (2013)
Computer vision
- Computer vision
- Introduction to computer vision (2015)
- Programming computer vision with python (2012)
- Programming computer vision with python (2012)
- Introduction to computer vision (2015)
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)
- 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
- Ucl reinforcement learning (2015)
- Stanford convolutional neural networks for visual recognition
- Stanford deep learning for natural language processing
- Deep learning (2017)
- Lectures
- Oxford CS Deep NLP (2017)
- Ucl reinforcement learning (2015)
- Stanford deep learning for natural language processing
- Stanford natural language processing with deep learning (2017)
- Berkeley deep reinforcement learning (2017)
Discrete math
- Discrete Mathematics and Probability Theory
- Discrete Mathematics and Probability Theory
- Discrete Mathematics and Probability Theory
Functional programming
- Programming paradigms (2018)
- 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)
- Introduction to Haskell (2016)
- Stanford functional systems in Haskell (2014)
- Haskell ITMO (2017)
- Introduction to Haskell (2016)
Investing
- Computational investing
iOS
- Developing iOS 10 apps with Swift (2017)
Machine learning
- 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. 💰
- 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 for data science (2015)
- Machine Learning with TensorFlow on Google Cloud Platform Specialization - Learn ML with Google Cloud. Real-world experimentation with end-to-end ML. 💰
- mlcourse.ai - Open Machine Learning course by OpenDataScience. 🆓
- Neural networks for machine learning
- Statistical learning (2015)
- Tensorflow for deep learning research (2017)
- MIT Deep Learning (2019)
- Artificial intelligence for robotics
- Machine Learning Crash Course (2018) - Google's fast-paced, practical introduction to machine learning. 🆓
- Machine learning in Python with scikit-learn
- Mathematics of Deep Learning, NYU, Spring (2018)
- Notes
- Tensorflow for deep learning research (2017)
- Machine learning for data science (2015)
- mlcourse.ai - Open Machine Learning course by OpenDataScience. 🆓
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)
- Abstract algebra (2019)
- Nonlinear dynamics and chaos (2014)
- Stanford mathematical foundations of computing (2016)
- 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)
Natural Language Processing
- YSDA Natural Language Processing course (2018)
Networking
- Introduction to computer networking
- Introduction to EECS II: digital communication systems (2012)
- Introduction to EECS II: digital communication systems (2012)
Neuroscience
- The Human Brain (2018)
- The Human Brain (2018)
Operating systems
- Computer Science 162
- Computer science from the bottom up
- Operating system engineering
- Computer Science 162
- How to make a computer operating system (2015)
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)
- Composing Programs - Free online introduction to programming and computer science.
- MIT software construction (2016)
- Stanford C Programming
- MIT structure and interpretation of computer programs (2005)
- Stanford C Programming
- Unix tools and scripting (2014)
React
- Beginner's guide to React (2017)
- Building React Applications with Redux
- Leverage New Features of React 16 (2018)
- React Holiday (2017) - React through examples. 🆓
- Advanced React Patterns (2017)
- Complete intro to React v4 (2018)
- Survive JS: React, From apprentice to master
ReasonML
- Get Started with Reason (2018)
Related
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Rust
- Rust programming (2016)
- Rust programming (2016)
Scala
- Functional programming principles in 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
- Statistics 110
- Introduction to probability - the science of uncertainty
- MIT probabilistic systems analysis and applied probability (2010)
Swift
- Hacking with Swift (2018)
Type theory
- Homotopy Type Theory (2014)
- Homotopy Type Theory (2014)
Vim
- Vim valley
Web Development
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Interactive Flexbox course (2018)
- Cutting-edge web technologies (2015)

Programming Languages

Jupyter Notebook 3 HTML 2 JavaScript 1 C 1 SCSS 1

Categories

Machine learning 22 Algorithms 19 Web Development 19 Math 17 Deep Learning 16 Computer Science 13 Programming 12 Related 10 Statistics 7 React 7 Haskell 5 Operating systems 5 Computer vision 5 Functional programming 5 Networking 3 Artificial Intelligence 3 Discrete math 3 Scala 2 Rust 2 Cryptography 2 Security 2 Type theory 2 Decentralized systems 2 Neuroscience 2 Compilers 2 Game development 1 Swift 1 ReasonML 1 Natural Language Processing 1 Vim 1 Investing 1 Chemistry 1 iOS 1 CSS 1 Cryptocurrency 1 Business 1

Sub Categories

Keywords

machine-learning 5 deep-learning 4 data-science 2 computer-science 2 security 2 artificial-intelligence 2 reinforcement-learning 2 computational-biology 1 computational-physics 1 computer-architecture 1 computer-vision 1 database-systems 1 databases 1 embedded-systems 1 quantum-computing 1 robotics 1 systems 1 web-development 1 clickjacking 1 bioinformatics 1 algorithms 1 unsupervised-learning 1 statistical-learning 1 neural-network 1 machine-intelligence 1 intelligent-systems 1 intelligent-machines 1 ai 1 courses 1 awesome-list 1 tutorial 1 scikit-learn 1 python 1 jupyter-notebook 1 oxford 1 nlp 1 natural-language-processing 1 tensorflow-tutorials 1 tensorflow 1 self-driving-cars 1 segmentation 1 neural-networks 1 mit 1 jupyter-notebooks 1 deeplearning 1 deep-rl 1 deep-reinforcement-learning 1 xss 1 web-security 1 vulnerability 1