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dc.contributor.editorSud, Keshav
dc.contributor.editorErdogmus, Pakize
dc.contributor.editorKadry, Seifedine
dc.date.accessioned2021-04-20T16:12:18Z
dc.date.available2021-04-20T16:12:18Z
dc.date.issued2020
dc.identifierONIX_20210420_9781838803346_2746
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/67387
dc.description.abstract“Introduction to Data Science and Machine Learning” has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data miningen_US
dc.subject.otherData mining
dc.titleIntroduction to Data Science and Machine Learning
dc.typebook
oapen.identifier.doi10.5772/intechopen.77469
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781838803346
oapen.relation.isbn9781838803339
oapen.relation.isbn9781838803711
oapen.imprintIntechOpen
oapen.pages232


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