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Courses
Awesome Courses
This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.
Algorithms
Algorithms (2010)
Taught by Manuel Blum who has a Turing Award due to his contributions to algorithms. 🆓
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Algorithms specialization
Paid Content. / Coursera(Stanford University) / Tim Roughgarden's four-course series on divide and conquer, graphs, greedy, DP and NP-completeness.
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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
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Quantum Information Science II: Efficient Quantum Computing - fault tolerance and complexity (2018)
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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
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
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Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization
Get hands-on experience optimizing, deploying, and scaling production ML models. 💰
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Introduction to Deep Learning (2018)
Introductory course on deep learning algorithms and their applications. 🆓
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Introduction to Machine Learning for Coders
The course covers the most important practical foundations for modern machine learning. 🆓
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Machine Learning Crash Course (2018)
Google's fast-paced, practical introduction to machine learning. 🆓
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Machine Learning with TensorFlow on Google Cloud Platform Specialization
Learn ML with Google Cloud. Real-world experimentation with end-to-end ML. 💰
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mlcourse.ai
Open Machine Learning course by OpenDataScience. 🆓
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Practical Deep Learning For Coders (2018)
Learn how to build state of the art models without needing graduate-level math. 🆓
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Math
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Networking
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Neuroscience
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Natural Language Processing
Operating systems
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Programming
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Composing Programs
Free online introduction to programming and computer science.
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React
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React Holiday (2017)
React through examples. 🆓
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ReasonML
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Rust
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Scala
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Security
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Hacker101 (2018)
Free class for web security. 🆓
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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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