MFML 006 - Simple linear regression

(9:16)

MFML 004 - How to test machine learning

(2:41)

MFML 110 - Logistic regression

(3:33)

MFML 028 - The 12 steps of AI

(4:57)

MFML 066 - Advanced AI debugging with cross-validation

(2:56)

MFML 061 - Can you skip the training phase in AI?

(1:12)

MFML 019 - How to avoid machine learning pitfalls

(4:26)

MFML 056 - How to speed up your ML/AI training phase

(2:30)

MFML 024 - Good intentions vs bad metrics

(2:43)

Introduction to ML and AI - MFML Part 1

(1:27:41)

MFML 109 - When should you use linear regression?

(2:39)

MFML 031 - Instances, features, and targets

(1:4)

MFML 001 - What is machine learning?

(1:48)

MFML 026 - AI is a team sport!

(1:16)

MFML 003 - How does machine learning work?

(5:)

MFML 038 - Don't forget data!

(1:46)

MFML 005 - What's inside the black box?

(1:25)

MFML 076 - What should you do if model testing fails?

(2:14)