Table of contents

1. Syllabus
2. Schedule

Schedule

Below is our tentative schedule. It is subject to change, but any changes will be reflected here.

Week 1 (3/30)

• Syllabus
• Icebreaker
• Chapter 1 - Knowledge Discovery and Data Science Ethics

Week 2 (4/6)

• Chapter 2 - Data Science Methodology and Preliminaries

Week 3 (4/13)

• Chapter 3 - Neural networks

Week 4 (4/20)

• Chapter 4 - Decision Trees

Week 5 (4/27)

• Chapter 5 - Decision by Committee
• Midterm mastery assignment

Week 6 (5/4)

• Chapter 6 - Unsupervised Learning

Week 7 (5/11)

• Chapter 7 - Dimensionality reduction

Week 8 (5/18)

• Chapter 8 - Recommendation Systems: Collaborative Filtering

Week 9 (5/25)

• Chapter 9 - Natural language processing

Week 10 (6/1)

• Chapter 10 - Ranking algorithms
• Final project due date #1

Finals week

• Final project due date #2
• Final mastery assignment

Other

Useful material not covered directly above.

• Neural Network Hacking Recipe