Ecosyste.ms: Awesome
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Awesome Courses
https://github.com/learn-anything/courses
Last synced: 3 days ago
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Algorithms
- Algorithmic thinking
- 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
- Data structures (2016)
- Data structures (2017)
- Data structures (2016)
- Data structures (2017)
- Algorithms (2010) - Taught by Manuel Blum who has a Turing Award due to his contributions to algorithms. π
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Artificial Intelligence
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Business
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Chemistry
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Compilers
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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)
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Computer vision
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Cryptocurrency
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Cryptography
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Decentralized systems
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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
- Stanford natural language processing with deep learning (2017)
- Lectures
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Discrete math
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Functional programming
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Game development
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Haskell
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Investing
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iOS
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Machine learning
- Amazonβs Machine Learning University course (2018)
- Artificial intelligence for robotics
- Coursera 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. π°
- mlcourse.ai - Open Machine Learning course by OpenDataScience. π
- Neural networks for machine learning
- Practical Deep Learning For Coders (2018) - Learn how to build state of the art models without needing graduate-level math. π
- Statistical learning (2015)
- Tensorflow for deep learning research (2017)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization - Get hands-on experience optimizing, deploying, and scaling production ML models. 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
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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)
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Networking
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Neuroscience
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Operating systems
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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.
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React
- Beginner's guide to React (2017)
- Leverage New Features of React 16 (2018)
- React Holiday (2017) - React through examples. π
- Building React Applications with Redux
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ReasonML
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Rust
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Scala
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Security
- Computer and network security (2013)
- Hacker101 (2018) - Free class for web security. π
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Statistics
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Swift
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Type theory
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Vim
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Web Development
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- Awesome artificial intelligence
- Awesome courses
- Dive into machine learning
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Programming Languages
Categories
Algorithms
16
Machine learning
15
Deep Learning
11
Computer Science
10
Math
9
Related
8
Programming
7
Statistics
5
React
4
Operating systems
4
Computer vision
3
Haskell
3
Artificial Intelligence
3
Web Development
2
Cryptography
2
Networking
2
Security
2
Functional programming
2
Compilers
2
Business
1
Cryptocurrency
1
CSS
1
Rust
1
Chemistry
1
Investing
1
Discrete math
1
Vim
1
Scala
1
iOS
1
ReasonML
1
Swift
1
Neuroscience
1
Game development
1
Decentralized systems
1
Type theory
1
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