Welcome to the Machine Learning and AI Study Group

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.

(Definition taken from Andrew Ng’s Machine Learning Course)

Study Group Setup

Credits

We based our materials and exercises, with permission, on Professor Jennifer Widom’s short course on Big Data.

Our Milestones

Getting started

Python for Machine Learning (Crash Course/Review)

Basic Data Manipulation with Pandas

Basic Data Visualization

Introduction to Machine Learning using Scikit-learn

Basic Regression

Math of Intelligence Series

In-depth discussions of the different machine learning algorithms.

Topic Slide Set Samples Exercise Resources
Decision Trees DT Slide Set, Gini Index DT Example DT Exercise DT Video
Naive Bayes NB Slide Set NB Example NB Exercise NB Video