MLBasicConcepts

This is the ML Basic Concepts powerpoint slides for Machine Learning course (Fall2020) students.

These slides include following subjects:

• Train / Test / Validation sets
• Probabilistic modeling & different types of random variables
• Maximum Likelihood estimation
• MAP estimation
• Overfitting
• Regularization
• Linear basis functions

Instructor:

s. Abbas Hosseini

Course Title:

Machine Learning