CS1951A | Slides

Slides

Below are the links to all slides covered in class. Slides will be posted as soon as they are available.

Week # Date Topic
1 24 January Introduction to Data Science
2 29 January Data Representation
3 31 January SQL 1: Data Definitions & Basic Queries
4 5 February SQL 2
5 7 February Webcrawling: slides, Python notebook
6 12 February Data Cleaning
7 14 February Crowdsourcing 1: slides, demo code
8 21 February Map Reduce
9 26 February Introduction to Probability
10 28 February Hypothesis Testing
11 5 March Linear Regression
12 7 March Linear Regression 2
13 12 March Intro to Machine Learning, Gradient Descent Demo
14 14 March Unsupervised Learning
15 19 March Classification,wine.txt
16 21 March Regularization
17 2 April Data Visualization
18 4 April p hacking, script, dataset
19 9 April NLP
20 10 April Machine Learning Fairness
21 16 April Matrix Factorization
22 18 April Deep Learning
14 23 April Crowsourcing 2