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Texas Health AI

Resources

This page is dedicated to spreading resources that helped our members learn AI and ML through the main pipeline of:

1. Linear Algebra

2. Probabilities and Statistics Basics

3. Machine Learning

4. Deep Learning

1. Linear Algebra

Essence of Linear Algebra (3BLUE1BROWN'S SERIES)

2. Probabilities and Statistics Basics

Probabilties and Statics (MIT)

3. Machine Learning

Stanford's Machine Learning Course (by Andrew Ng)

4. Deep Learning

Intro to Deep Learning (MIT)

Neural Networks: Zero to Hero (By Andrej Karpathy)

Natural Language Processing and Large Language Models (By Serrano Academy)

Image Analysis / Computer Vision

Computer Vision (by Stanford)

Convolutional Neural Network Simple Explanation

Paper that made CNN’s popular

DenseNet Explanation,

UNet Explanation,

Paper

Paper

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