Introduction to Machine Learning

Dive into a 46-minute introductory session on machine learning, covering essential topics from ML model basics to creating your first project. Gain hands-on experience using CoLabs, leverage technical documentation, and explore various ML concepts including decision trees, data sets, training vs. testing data, and model evaluation. Learn from speakers Soo Sung and Michelle Carney as they guide you through the fundamentals, offer visualization techniques, and provide insights on different models. Discover free resources, get advice on UX research in ML, and understand common steps in the machine learning process. Access the provided CoLab notebook for practical exercises and deepen your understanding of this rapidly evolving field.

Introduction
Collab
Welcome
Agenda
What is Machine Learning
The Data Set
Decision Trees
Data
Labels
Training vs Testing Data
Good News
Training
Evaluation
Visualizations
Tree Accuracy
Different Models
Free Resources
Questions
Common Steps
Simple ML
UX Research
Advice