5 free Machine Learning Courses Recommended by OpenAI Professionals

We collected five courses recommended by people from OpenAI. All these courses opened access to their materials for the community but usually do not provide the certificate after completion.

1. EE263: Introduction to Linear Dynamical Systems by Stephen Boyd

Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Course website.

2. Neural Networks for Machine Learning by Geoffrey E. Hinton

This course will teach you about artificial neural networks and how they can be applied to speech and object recognition, image segmentation, modeling language, human motion, etc. Lectures, lecture slides

3. CS231n: Convolutional Neural Networks for Visual Recognition by Fei-Fei Li

This course is a deep dive into deep learning focusing on image classification. During the 10-week course, students will learn to implement and train their neural networks and gain a detailed understanding of cutting-edge research in computer vision. Course website.

4. CS 287: Advanced Robotics by Pieter Abbeel

This course will teach you the math and algorithms underneath state-of-the-art robotic systems. The majority of these techniques are heavily based on optimization and probabilistic reasoning. Course website.

5. CS 294: Deep Reinforcement Learning by Sergey Levine, John Schulman, Chelsea Finn

This course covers supervised learning, basic reinforcement learning, advanced model learning and prediction, distillation, reward learning, and advanced deep reinforcement learning. Course website.

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