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Machine Learning Essentials
Building the Foundations
Curriculum
3 Sections
11 Lessons
10 Weeks
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Chapter 7: Demystifying the Math Behind Machine Learning
3
1.1
Working with Data
10 mins
1.2
Exploring the World of Probabilities
10 mins
1.3
Describing the Use of Statistics
10 mins
Chapter 8: Descending the Gradient
3
2.1
Acknowledging Different Kinds of Learning
10 mins
2.2
The Learning Process
10 mins
2.3
Optimizing with Big Data
10 mins
Chapter 9: Validating Machine Learning
5
3.1
Considering the Use of Example Data
10 mins
3.2
Checking Out-of-Sample Errors
10 mins
3.3
Training, Validating, and Testing
10 mins
3.4
Optimizing by Cross-Validation
10 mins
3.5
Avoiding Variance of Estimates and Leakage Traps
10 mins
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