If books aren’t your thing, don’t worry, you can enroll or watch online courses! The interweb is now full of MOOCs that have lowered the barrier to being taught by experts. What’s more you get to do it at your pace and design your own curriculum. Great time to be alive for lifelong learners.
Here it is — the list of the best machine learning & deep learning courses and MOOCs for 2019.
- Deep Learning Specialization by Andrew Ng - deeplearning.ai
- Deep Learning For Coders by Jeremy Howard, Rachel Thomas, Sylvain Gugger - fast.ai
- Deep Learning Nanodegree Program by Udacity
- CS224n: Natural Language Processing with Deep Learning by Christopher Manning, Abigail See - Stanford
- CS231n: Convolutional Neural Networks for Visual Recognition by Stanford
- MIT Deep Learning by MIT
- Introduction to Reinforcement Learning by David Silver - UCL / DeepMind
- Advanced Deep Learning & Reinforcement Learning by Thore Graepel, Hado van Hasselt UCL / DeepMind
- Spinning Up in Deep RL by OpenAI
- Machine Learning by Andrew Ng - Stanford
- CS156: Machine Learning Course by Yaser S. Abu-Mostafa - Caltech
- AI for Everyone by Andrew Ng - deeplearning.ai
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