Machine Learning Algorithms（Second Edition）
Machinelearninghasgainedtremendouspopularityforitspowerfulandfastpredictionswithlargedatasets.However,thetrueforcesbehinditspowerfuloutputarethecomplexalgorithmsinvolvingsubstantialstatisticalanalysisthatchurnlargedatasetsandgeneratesubstantialinsight.ThissecondeditionofMachineLearningAlgorithmswalksyouthroughprominentdevelopmentoutcomesthathavetakenplacerelatingtomachinelearningalgorithms,whichconstitutemajorcontributionstothemachinelearningprocessandhelpyoutostrengthenandmasterstatisticalinterpretationacrosstheareasofsupervised,semi-supervised,andreinforcementlearning.Oncethecoreconceptsofanalgorithmhavebeencovered,you’llexplorereal-worldexamplesbasedonthemostdiffusedlibraries,suchasscikit-learn,NLTK,TensorFlow,andKeras.Youwilldiscovernewtopicssuchasprincipalcomponentanalysis(PCA),independentcomponentanalysis(ICA),Bayesianregression,discriminantanalysis,advancedclustering,andgaussianmixture.Bytheendofthisbook,youwillhavestudiedmachinelearningalgorithmsandbeabletoputthemintoproductiontomakeyourmachinelearningapplicationsmoreinnovative.
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