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Applied Unsupervised Learning with Python
Unsupervisedlearningisausefulandpracticalsolutioninsituationswherelabeleddataisnotavailable.AppliedUnsupervisedLearningwithPythonguidesyouonthebestpracticesforusingunsupervisedlearningtechniquesintandemwithPythonlibrariesandextractingmeaningfulinformationfromunstructureddata.Thecoursebeginsbyexplaininghowbasicclusteringworkstofindsimilardatapointsinaset.Onceyouarewellversedwiththek-meansalgorithmandhowitoperates,you’lllearnwhatdimensionalityreductionisandwheretoapplyit.Asyouprogress,you’lllearnvariousneuralnetworktechniquesandhowtheycanimproveyourmodel.Whilestudyingtheapplicationsofunsupervisedlearning,youwillalsounderstandhowtominetopicsthataretrendingonTwitterandFacebookandbuildanewsrecommendationengineforusers.YouwillcompletethecoursebychallengingyourselfthroughvariousinterestingactivitiessuchasperformingaMarketBasketAnalysisandidentifyingrelationshipsbetweendifferentmerchandises.Bytheendofthiscourse,youwillhavetheskillsyouneedtoconfidentlybuildyourownmodelsusingPython.
最新章節
- Chapter 9: Hotspot Analysis
- Chapter 8: Market Basket Analysis
- Chapter 7: Topic Modeling
- Chapter 6: t-Distributed Stochastic Neighbor Embedding (t-SNE)
- Chapter 5: Autoencoders
- Chapter 4: Dimension Reduction and PCA
品牌:中圖公司
上架時間:2021-06-11 12:58:06
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