Welcome to The Class!
In this class, we will explore theories in Probability, Statistics and Machine Learning, and apply them to solve real data problems using the programming language R. We will build the foundations from scratch --- no actual prerequisites required, but bring your curiosity! We will take your analytical skills to the next level. If you're simply seeking a challenge, we have something for you too!
Welcome and enjoy.
Calendar (tentative)
We will cover these major areas: regression, classification, clustering and data representation.
| Date | Lecture Link | Topic | Instructor |
|---|---|---|---|
| February 20 | Lec 1 | Math Review. | Collin |
| February 27 | Lec 2 | Introduction to R. | Owen |
| March 6 | Lec 3 | Simulation | Owen |
| March 13 | Lec 4 | Regression Models | Collin |
| March 20 | Lec 5 | Significance. | Owen |
| March 27 | Lec 6 | The Replication Crisis | Collin |
| April 10 | Lec 7 | Time Series. | Owen |
| April 17 | Lec 8 | High Dimensional Statistics | Collin |
| April 24 | Lec 9 | Bayes and Text | Owen |
| May 1 | Lec 9 | TBD. | Collin |