Lecture 3

April 9, 2019

Overview

Discussion on readings
Introduction to ML
- Types, common problems
Process of building ML pipeline
- Gathering data
- Extracting features
- Developing model
- Training and optimization
- Evaluation

Lecture Slides

CMPS290T_S19_L03

Lecture Video

Resources

Slides [Link]
Video [Link]
Machine Learning Crash Course by Google [Link]
ML basics from Deep Learning book [Link]

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