Introduction

This repository contains source code for all posts in my machine learning blog series. You can find each post below. Relevant code snippets are in src/ and organized by <post-number>-<description>.

1. Why I'm Writing About ML
2. Gradient Descent Intuition
3. Gradient Descent in Simple NN
4. Decision Trees Introduction

Reference Materials

I used a number of excellent blog posts and videos in writing this series.

• Andrew Trask simple NN
• Milo Spencer-Harper simple NN
• Josh Gordon's YouTube series

Topics I Would Like To Explore

• Gradient descent
• Computation graph
• Forward prop
• Back prop
• np.linalg.norm
• Decision trees
• Cosine similarity