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Sungkyunkwan University

Machine Learning Basics

Sungkyunkwan University via Coursera

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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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Reviews

4.3 rating at Coursera based on 57 ratings

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