Published July 10, 2026 | Version v1
Lesson Open

A visual introduction to fundamental modern machine Learning

Authors/Creators

  • 1. ROR icon University of British Columbia

Description

This notebook introduces the fundamental concepts of modern machine learning through visual explanations and Python examples. It covers supervised and unsupervised learning, model evaluation, overfitting, feature engineering, and common machine learning workflows.

Files

Files (8.5 MB)

Name Size Download all
md5:1ca9e5130656d5c1b5a7383945a1f042
8.5 MB Download

Additional details

Funding

University of British Columbia
Teaching and Learning Enhancement Fund

Software

Repository URL
https://github.com/ubcecon/praxis-ubc/tree/main/project/docs/intro_to_deep_learning
Programming language
Python
Development Status
Active