Machine Learning Basics
In this course, you will: a) understand the basic concepts of machine learning. b) understand a typical memory-based method, the K nearest neighbor...
By Jaekwang KIM on Coursera
About This Course
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.
Topics Covered
Frequently Asked Questions
How much does Machine Learning Basics cost?
Visit the Machine Learning Basics course page for current pricing and available discounts.
Who teaches Machine Learning Basics?
Machine Learning Basics is taught by Jaekwang KIM, Sungkyunkwan University.
What skill level is Machine Learning Basics for?
This course is designed for beginner learners.
Similar Courses
HTML & CSS Coding for Beginners: Build your own portfolio!
Chris Dixon
Maya for Beginners: Animation
Lucas Ridley
JavaScript for Beginners (includes 6+ real life projects)
Kalob Taulien
Beginner Bootstrap 4: Hand code beautiful responsive websites fast
Chris Dixon