How to: 🤖 Learn AI
- [aima](http://aima.cs.berkeley.edu) : The leading textbook in Artificial Intelligence (4th most cited publication of the century). Includes Github repositories and more AI resources!
- [fast.ai](http://course.fast.ai) : Free practical *deep learning* course for coders without grad-level maths!
- [TypeDB](https://vaticle.com) : A Strongly-typed Database
- [Robots that learn](https://openai.com/research/robots-that-learn) : Robots that Learn
- [Unsupervised Sentiment Neuron](https://openai.com/research/unsupervised-sentiment-neuron) : Unsupervised Sentiment Neuron
- [What's the difference between AI- DP and ML?](https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/) : Difference artificial intelligence, machine-learning, deep-learning-ai
- [TensorFlow](https://www.tensorflow.org) : An open-source software library for Machine Intelligence
- [Scikit-learn](http://scikit-learn.org) : A Python module for machine learning build on top of SciPy
- [DeepLearning.ai](https://www.deeplearning.ai) : Deep Learning course by Andrew Ng, Founder of Coursera
- [Coding the History of Deep Learning](http://blog.floydhub.com/coding-the-history-of-deep-learning/) : Coding the History of Deep Learning
- [Serpent AI](https://github.com/SerpentAI/SerpentAI) : Game Agent Framework. Helping you create AIs / Bots to play any game you own! BETA
- [Blog Floydhub](https://blog.floydhub.com/colorizing-b&w-photos-with-neural-networks/) : Colorizing B&W Photos with Neural Networks
- [MLCOURSE.AI](https://mlcourse.ai/) : Open Machine Learning course by OpenDataScience
- [Elements of AI](https://course.elementsofai.com/) : A free course for AI basics by Reaktor and University of Helsinki
- [Machine Learning Mastery](https://machinelearningmastery.com/) : A comprehensive blog that contains guidance, tutorials, and e-book for mastering ML
- [Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course) : A jumpstart AI course from Google
- [Machine Learning Tutorial: A Step-by-Step Guide for Beginners](https://www.simplilearn.com/tutorials/machine-learning-tutorial) : A one-stop playlist for all the basics of Machine Learning simplified, from Logistic Regression to Reinforcement Learning.
- [MLU-EXPLAIN](https://mlu-explain.github.io/) : Machine Learning University (MLU) is an education initiative from Amazon designed for visual explanations of core machine learning concepts.
↥ Back To Top