Machine Learning Diagnostic

Instructions

1. Show the objective or computational graph before calculating.
2. Separate formula recall from interpretation.

Ordered items

1. Linear regression objective and gradientRegression · 8 min
2. Logistic probability and cross-entropyClassification · 6 min
3. Gradient descent on a quadraticGradient Descent · 7 min
4. PCA direction and explained varianceDimensionality Reduction · 7 min
5. Forward pass and backpropagationNeural Networks · 8 min
6. Convolution output shape and parametersConvolution · 6 min
7. Diagnose train and validation errorTheory · 6 min
8. One k-means assignment and updateUnsupervised Learning · 7 min

Completion

Use missed skills to choose the corresponding topic practice set.

Next

• Regression Practice
• Classification Practice
• Gradient Descent Practice
• Dimensionality Reduction Practice
• Neural Networks Practice
• Convolution Practice
• Optimization Practice
• Theory Practice
• Unsupervised Learning Practice