courses
Awesome Courses
https://github.com/linsa-io/courses
Last synced: 5 days ago
JSON representation
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Algorithms
- Algorithmic thinking
- Algorithms (2010) - Taught by Manuel Blum who has a Turing Award due to his contributions to algorithms. π
- 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. π
- 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)
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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)
- MIT Mathematics for Computer Science (2010)
- Great ideas in computer architecture (2015)
- Information retrieval (2013)
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Computer vision
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Cryptocurrency
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Cryptography
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CSS
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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
- 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)
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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)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization - Get hands-on experience optimizing, deploying, and scaling production ML models. π°
- Coursera machine learning
- 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)
- 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
- 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. π
- 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. 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)
- 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)
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Natural Language Processing
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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.
- MIT software construction (2016)
- Stanford C Programming
- MIT structure and interpretation of computer programs (2005)
- Stanford C Programming
- Unix tools and scripting (2014)
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React
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ReasonML
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Related
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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
- 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)
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Swift
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Type theory
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Vim
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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
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