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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.

Topics I Would Like To Explore

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

About

Source code for my ML blog series. Intro: http://benbrostoff.github.io/2017/09/19/why-ml

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