Deep Learning Vol. 1 From Basics to Practice
Volume1–1IntroductiontoMachineLearning2Statistics3Probability4Bayes'Rule5CurvesAndSurfaces6InformationTheory7Classification8TrainingAndTesting9OverfittingAndUnderfitting10Neurons11LearningAndReasoning12DataPreparation13Classifiers14Ensembles15Scikit-Learn16FeedForwardNetworks17