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]