01900nam 2200385 450 991068847560332120230625152521.0(CKB)5400000000042982(NjHacI)995400000000042982(EXLCZ)99540000000004298220230625d2020 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierIntroduction to data science and machine learning /Keshav Sud, Pakize Erdogmus, Seifedine Kadry, editorsLondon :IntechOpen,2020.1 online resource (x, 220 pages)1-83880-371-8 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.Computer softwareDevelopmentMachine learningComputer softwareDevelopment.Machine learning.005.1Sud KeshavErdogmus PakizeKadry SeifedineNjHacINjHaclBOOK9910688475603321Introduction to Data Science and Machine Learning1952080UNINA