Developer Guide

Machine Learning Guide

From fundamentals to advanced neural networks - a comprehensive journey through machine learning concepts and implementations.

3 sections

12 lessons

24 min

Course Content

3 sections • 12 lessons • 24 min total

🟢

Start here - no prior experience needed

3 sections

What is machine learning and why it matters

Classification and regression basics

Clustering and dimensionality reduction

Metrics and validation techniques

The building blocks of neural networks

ReLU, Sigmoid, Tanh, and more

How neural networks learn

SGD, Adam, and learning rate scheduling

Convolutional Neural Networks for images

Sequence modeling and time series

Attention mechanisms and modern NLP

Leveraging pretrained models

Jump into the first lesson and start building your skills. This guide is completely free and open source.