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Coursera

Machine Learning Basics

Sungkyunkwan University via Coursera

Overview

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.

Syllabus

  • The basic concepts of machine learning
  • The k-Nearest Neighbors
  • Linear Regression
  • Logistic Regression

Taught by

Jae-kwang KIM

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