Instructor: Vadim Sokolov

vadim.sokolov@chicagobooth.edu

TA: Veda Vajpeyi

vvajpeyi@chicagobooth.edu

** Syllabus**

Course Textbook: OpenIntro Statistics (pdf, tablet pdf)

vadim.sokolov@chicagobooth.edu

TA: Veda Vajpeyi

vvajpeyi@chicagobooth.edu

Course Textbook: OpenIntro Statistics (pdf, tablet pdf)

Section 4: Classification (Tree Notes newfood.R, oj.R, pga.R, Tennis Notebook, logistic.r)

Section 5: AI and Deep Learning. Examples: MNIST; NN for Circle Data; IMDB: (notebook, code); Trump Tweets (notebook, code)

**Datasets**

I made a quick introduciton to R, video is here and here are the slides.

To get RStudio on you computer, you need to first download and install R then you need to download and install RStudio.
Further, I recommend doing those two courses on DataCamp.

In addition, Booth offers access to an online R tutorial on LinkedinLearning. To access the training, go to: here and login using your CNetID and password. You may find it helpful to work through the following R courses offered on LinkedInLearning:

Code Clinic: R with Mark Niemann-Ross

R Statistics Essential Training with Barton Poulson

Up and Running with R with Barton Poulson

Retail: Kraft-Heinz blog, Kraft-Heinz WSJ, Frito-Lay potato peeling, Tyson, Anheuser-Busch InBev payments, Walmart smart store

Airbnb (Random Forest)

Facebook (Decision trees and logistic regrsssion)

Youtube (deep learning)

Uber (time series)