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100   $a20230625d2020      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aIntroduction to data science and machine learning /$fKeshav Sud, Pakize Erdogmus, Seifedine Kadry, editors
210  1$aLondon :$cIntechOpen,$d2020.
215   $a1 online resource (x, 220 pages)
311   $a1-83880-371-8 
330   $aIntroduction 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.
606   $aComputer software$xDevelopment
606   $aMachine learning
615  0$aComputer software$xDevelopment.
615  0$aMachine learning.
676   $a005.1
702   $aSud$b Keshav
702   $aErdogmus$b Pakize
702   $aKadry$b Seifedine
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910688475603321
996   $aIntroduction to Data Science and Machine Learning$91952080
997   $aUNINA