Machine Learning Resources

Stanford University CS229 (Machine Learning) Materials

• Andrew Ng's presentation - ML Advice
• Problem: Overfitting (high variance)
• Diagnostic: Training error is much lower than test error
• Solution: Larger dataset, fewer features
• Problem: Too few features (high bias)
• Diagnostic: Training error is high
• Solution: Larger set of features, different features