This is a list of free machine learning courses that were recommended by Tarry Singh in this LinkedIn post. It's recommended that you start with the first resource in this journey. The resources that follow are listed in no particular order and just serve as a list that you can peruse to figure out what you want to learn.
Before you embark on your AI/ML self-guided journey, it might be beneficial to start with this post by Tarry Singh where he answers some of the more common questions on how to get started and how to progress.
My Sole Advise to Data Scientists on Coursera & Quora
This blog post by Tarry Singh answers questions including "How do I get started in the field on Machine Learning, Deep Learning or Artificial Intelligence" and "How do I advance from the...
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Yann LeCun’s Deep Learning Course at CDS
This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning...
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CS224n: Natural Language Processing with Deep Learning | Winter 2021
This course covers the foundations of the effective modern methods for deep learning applied to NLP, a big picture understanding of human languages and the difficulties in understanding and...
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Learning From Data
This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical...
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Full Stack Deep Learning
There are many great courses to learn how to train deep neural networks. However, training the model is just one part of shipping a deep learning project. This course teaches full-stack...
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Stanford Engineering Everywhere: CS223A - Introduction to Robotics
The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of...
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Linear Algebra Review
This short course is a quick review of linear algebra, intended for students who have already taken a previous course in linear algebra or have some experience with vectors and matrices. The...
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Math Background for Machine Learning from Carnegie Melon University
This course provides a place for students to practice the necessary mathematical background for further study in machine learning — particularly for taking 10-601 and 10-701. Topics covered...
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