In this course, you will:
a) understand the basic concepts of machine learning.
b) understand a typical memory-based method, the K nearest neighbor method.
c) understand linear regression.
d) understand model analysis.
Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.
Overview
Syllabus
- The basic concepts of machine learning
- The k-Nearest Neighbors
- Linear Regression
- Logistic Regression
Taught by
Jae-kwang KIM
