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 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.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Related AI Lessons
⚡
⚡
⚡
⚡
My Experience with Network Anomaly Detection Using 5 Different ML Approaches
Medium · Machine Learning
My Experience with Network Anomaly Detection Using 5 Different ML Approaches
Medium · Cybersecurity
Sujar Henry on Why Access Still Isn’t Enough in Tech
Medium · Machine Learning
The Day I Realized Most Developers Are Learning Python the Wrong Way
Medium · Python
🎓
Tutor Explanation
DeepCamp AI