Machine Learning Tutorials

Every machine learning tutorial on PySpark.in, grouped by topic. Each article covers one subject in depth with runnable examples you can try in the free browser compiler.

Deep Learning and Neural Networks

• The Magic Trick That Changed Machine Learning Forever ​Introduction: A Story from Bell Labs
• One Hidden Layer Is All You Need? The Surprising Story of George Cybenko and the Universal Power of Neural Net
• The Algorithm That Ended the "Neural Networks Are Dead" Myth
• The Magic Trick That Made Deep Learning Possible: Understanding Backpropagation

Dimensionality Reduction

• When Too Many Directions Confuse the Machine — The Curse of Dimensionality
• Finding the Secret Directions in Your Data — PCA, Eigenvalues, and Eigenvectors

Foundation and Introduction

• ​A Beginner's Guide to Machine Learning
• The First Artificial Neuron and Learning from Mistakes
• ​Patterns

Optimization

• Gradient Descent

Probability and Statistics

• Probability — The Secret Language of Machine Learning

The Evolution of Machine Learning

• Introduction to Machine Learning
• Introduction to Deep Learning

The Math Behind ML-Vector and Geometry

• ​ Understanding Vectors, the Building Blocks of AI
• How Vectors, Dot Products, and Hyperplanes Power the Perceptron

The Perceptron-Theory,Convergenece and Proof

• Guaranteed to Succeed — How the Perceptron Promises to Find the Answer
• The Beautiful Math Behind Learning — Understanding the Perceptron's Update Rule
• The Proof That Machines Always Learn — Understanding Why the Perceptron Never Gives Up

Unsupervised Learning-Cluster and Similarity

• The Simplest Way Machines Learn — Finding Friends in a Crowd

Run the examples in the free PySpark compiler · Practice challenges · Short answer guides