Machine Learning Tutorials

This page is inspired by Robbie Allen’s article, Over 200 of the Best Machine Learning, NLP, and Python Tutorials — 2018 Edition. Some of the links in the article are no available anymore.

Introduction

• Machine Learning is Fun! – The world’s easiest introduction to Machine Learning by Adam Geitgey
  • Part 1 – Introduction
  • Part 2 – Using Machine Learning to generate Super Mario Maker levels
  • Part 3 – Deep Learning and Convolutional Neural Networks
  • Optional
    • Part 4 – Modern Face Recognition with Deep Learning
    • Part 5 – Language Translation with Deep Learning and the Magic of Sequences
    • Part 6 – How to do Speech Recognition with Deep Learning
    • Part 7 – Abusing Generative Adversarial Networks to Make 8-bit Pixel Art
    • Part 8 – How to Intentionally Trick Neural Networks
• Getting Started with Applied Machine Learning by Machine Learning Mastery
• Machine Learning Crash Crouse by Machine Learning @ Berkeley
  • Part 1 — Regression/Classification, Cost Functions, and Gradient Descent
  • Part 2 — SVMs, Perceptrons, and Logistic Regression
  • Part 3 — Neural Networks
• Keras Examples
  • https://keras.io/examples/

Core Concepts

Deep Learning

• A Guide to Deep Learning by YN^2

Activation and Loss Functions

• 7 Types of Neural Network Activation Functions: How to Choose?
• Loss functions
• L1 vs. L2 Loss function
• Cross-entropy cost function

Books

• Neural Networks and Deep Learning by Michael Nielson

Video Tutorials

Deep Learning

Neural Networks

Linear Algebra