Machine Learning

In this page we list useful resources to learn about machine learning.

Using these resources you will learn:

• Linear regression

• Logistic regression

• K-means clustering

• Multi-class classification

• Multilayer Perceptron (MLP)

• Convolutional Neural Networks

• Deep Learning

• Machine Learning with PyTorch and Scikit-Learn

Resources

The resources are not provided in particular order.

• Machine Learning Specialization

• AI For Everyone

• Introduction to Artificial Intelligence with Python by Harvard

• Deep Learning Specialization

• Practical Deep Learning for Coders

• Deep Learning with Python

• 100 Days of ML Code

• Deep Learning Book

• Stanford CS231n — Convolutional Neural Networks for Visual Recognition (YouTube)(https://www.youtube.com/watch?v=g-PvXUjD6qg&list=PLlJy-eBtNFt6EuMxFYRiNRS07MCWN5UIA&ab_channel=HaoDu) GitHub

• ML-For-Beginners by Microsoft

• AI For Beginners by Microsoft

• The Engineer’s Guide to Deep Learning

If you would like to suggest a resource, email us aup@amd.com

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