On these pages, you will find resources and a path to learning machine learning. Included are these topics:

Image preprocessing

Image Classification

Histogram of Oriented Gradients

Perceptrons and Multi-layer Perceptrons

PyTorch for Classification

Convolutional Neural Networks

Transfer Learning

It spans basic to advanced practice. If you are new to Python and Numpy, some resources are on the last pages to get started in the language and library that are the cornerstones of ML. A couple of free Microsoft ML services are used.

Click on the Setup card to begin.

Data Science Setup

GPU Setup for Deep Learning

Level 1 Preparation

Introductory Data and Neural Network Concepts

Level 1 Practice

First Custom ML: Classical and First Neural Net

Level 2 Preparation

Introduction to Simple and Convolutional Neural Networks

Level 2 Practice

Intermediate Practice with Deep Learning

Level 3 Preparation

Advanced Preparation

Level 3 Practice

Advanced Deep Learning with PyTorch

Introduction to Python

Learning Python for Data Science

Introduction to Numpy

A List of numpy resources