CS229LectureNotesAndrewNgandTengyuMaJune11,2023ContentsISupervisedlearning51Linearregression81.1LMSalgorithm..........................91.2Thenormalequations.......................131.2.1Matrixderivatives.....................131.2.2Leastsquaresrevisited..................141.3Probabilisticinterpretation....................151.4Locallyweightedlinearregression(optionalreading)......172Classificationandlogisticregression202.1Logisticregression........................202.2Digression:theperceptronlearningalgorithm.........232.3Multi-classclassification.....................242.4Anotheralgorithmformaximizing(θ).............273Generalizedlinearmodels293.1Theexpone...
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