Course Highlights
  • Artificial Intelligence, Machine Learning and Deep Learning
  • Applied vs. Generalized AI
  • Features, Labels, Examples
  • The Process of Training a Model
  • Under-fitting and Over-fitting
  • Supervised/Unsupervised Learning
  • Classification and Regression
  • Clustering and Dimension Reduction
  • Reinforcement Learning
Curriculum

2 Topics
Welcome!
Before you start....

8 Topics
AI is Coming...
Artificial Intelligence
Classical Programming
Machine Learning
Deep Learning
Applied vs. Generalized AI
Why Now?
Quick Check-Point #1

6 Topics
Overview - ML Terminology
The “Black Box” Metaphor
Features and Labels
Training a Model
Aiming for Generalization
Quick Check-Point #2

12 Topics
The Degree of Supervision
#1 - Supervised Learning
Classification
Regression
Quick Check-Point #3
#2 - Unsupervised Learning
Clustering
Dimension Reduction
Quick Check-Point #4
#3 - Reinforcement Learning
Decision-Making Agent
Quick Check-Point #5

2 Topics
Let's Recap and Thank You!
** BONUS **

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Machine Learning for Absolute Beginners - Level 1

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