Unsupervisedlearningisaboutmakinguseofraw,untaggeddataandapplyinglearningalgorithmstoittohelpamachinepredictitsoutcome.Withthisbook,youwillexploretheconceptofunsupervisedlearningtoclusterlargesetsofdataandanalyzethemrepeatedlyuntilthedesiredoutcomeisfoundusingPython.Thisbookstartswiththekeydifferencesbetweensupervised,unsupervised,andsemi-supervisedlearning.Youwillbeintroducedtothebest-usedlibrariesandframeworksfromthePythonecosystemandaddressunsupervisedlearninginboththemachinelearninganddeeplearningdomains.Youwillexplorevariousalgorithms,techniquesthatareusedtoimplementunsupervisedlearninginreal-worldusecases.Youwilllearnavarietyofunsupervisedlearningapproaches,includingrandomizedoptimization,clustering,featureselectionandtransformation,andinformationtheory.Youwillgethands-onexperiencewithhowneuralnetworkscanbeemployedinunsupervisedscenarios.YouwillalsoexplorethestepsinvolvedinbuildingandtrainingaGANinordertoprocessimages.Bytheendofthisbook,youwillhavelearnedtheartofunsupervisedlearningfordifferentreal-worldchallenges.