Hands-On Machine Learning with scikit：learn and Scientific Python Toolkits
Machinelearningisappliedeverywhere,frombusinesstoresearchandacademia,whilescikit-learnisaversatilelibrarythatispopularamongmachinelearningpractitioners.Thisbookservesasapracticalguideforanyonelookingtoprovidehands-onmachinelearningsolutionswithscikit-learnandPythontoolkits.Thebookbeginswithanexplanationofmachinelearningconceptsandfundamentals,andstrikesabalancebetweentheoreticalconceptsandtheirapplications.Eachchaptercoversadifferentsetofalgorithms,andshowsyouhowtousethemtosolvereal-lifeproblems.You’llalsolearnaboutvariouskeysupervisedandunsupervisedmachinelearningalgorithmsusingpracticalexamples.Whetheritisaninstance-basedlearningalgorithm,Bayesianestimation,adeepneuralnetwork,atree-basedensemble,orarecommendationsystem,you’llgainathoroughunderstandingofitstheoryandlearnwhentoapplyit.Asyouadvance,you’lllearnhowtodealwithunlabeleddataandwhentousedifferentclusteringandanomalydetectionalgorithms.Bytheendofthismachinelearningbook,you’llhavelearnedhowtotakeadata-drivenapproachtoprovideend-to-endmachinelearningsolutions.You’llalsohavediscoveredhowtoformulatetheproblemathand,preparerequireddata,andevaluateanddeploymodelsinproduction.
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