Book III · Interactive Machine Learning
A model is a rule
you can inspect.
Change the data. Follow the prediction. See exactly why the parameters move.
Start with what machine learning actually learnsObserveX, ySamples and targets
→PredictŷThe model's output
→MeasureLError under a chosen loss
→UpdateθLearned parameters
Nine Parts. One inspectable path.
41 of 41 chapters available
- IML Foundations6 chapters · 6 available
- IIRegression and Classification10 chapters · 10 available
- IIIInstance and Probabilistic Methods3 chapters · 3 available
- IVTrees and Ensemble Learning6 chapters · 6 available
- VClustering3 chapters · 3 available
- VIDimensionality Reduction3 chapters · 3 available
- VIISupport Vector Machines3 chapters · 3 available
- VIIIEvaluation and Practical ML5 chapters · 5 available
- IXBridge to Neural Networks2 chapters · 2 available