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Machine Learning

Neural Networks

Advanced mastery of neural network training, focusing on judgment, restraint, and calibration under ambiguity.
Goal:
Learn how neural networks are trained.
3Lessons
6Micro-lessons
AdvancedDifficulty
Lesson 1

Ambiguity in Model Training

Judging when ambiguity in training signals requires restraint.
Start2 Micro-lessons

Micro lesson 1
Ambiguous Loss Functions
Micro lesson 2
Conflicting Validation Results
Lesson 2

Trade-offs in Optimization

Recognizing hidden costs in optimization decisions.
Start2 Micro-lessons

Micro lesson 1
Premature Optimization Decisions
Micro lesson 2
Ignoring Rare Edge Cases
Lesson 3

Long-term Effects of Overfitting

Calibrating judgment to avoid compounding errors from overfitting.
Start2 Micro-lessons

Micro lesson 1
Subtle Overfitting Patterns
Micro lesson 2
Delayed Consequences of Overfitting