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Mastering Predictive Analytics with scikit：learn and TensorFlow
Pythonisaprogramminglanguagethatprovidesawiderangeoffeaturesthatcanbeusedinthefieldofdatascience.MasteringPredictiveAnalyticswithscikit-learnandTensorFlowcoversvariousimplementationsofensemblemethods,howtheyareusedwithreal-worlddatasets,andhowtheyimprovepredictionaccuracyinclassificationandregressionproblems.Thisbookstartswithensemblemethodsandtheirfeatures.Youwillseethatscikit-learnprovidestoolsforchoosinghyperparametersformodels.Asyoumakeyourwaythroughthebook,youwillcoverthenitty-grittyofpredictiveanalyticsandexploreitsfeaturesandcharacteristics.YouwillalsobeintroducedtoartificialneuralnetworksandTensorFlow,andhowitisusedtocreateneuralnetworks.Inthefinalchapter,youwillexplorefactorssuchascomputationalpower,alongwithimprovementmethodsandsoftwareenhancementsforefficientpredictiveanalytics.Bytheendofthisbook,youwillbewell-versedinusingdeepneuralnetworkstosolvecommonproblemsinbigdataanalysis.
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- Summary
- Evaluating the model with a set threshold
- Run the computational graph
- Optimizer and the training operation
品牌：中圖公司
上架時間：2021-07-23 15:42:55
出版社：Packt Publishing
本書數字版權由中圖公司提供，并由其授權上海閱文信息技術有限公司制作發行
