000			02046naaaa2200397uu 4500
003			BUT
005			20230512173300.0
006			m o d
007			cr|mn|---annan
008			20210420s2020 xx |||||o ||| eng|| d
020			_a9781838803346
020			_a9781838803339
020			_a9781838803711
040			_aoapen _coapen
041	0		_aeng
080			_a004.65
100	1		_aSud, Keshav _4edt
245	1	0	_aIntroduction to Data Science and Machine Learning
260			_bIntechOpen _c2020
300			_a1 electronic resource (232 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_a“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.
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc
546			_aEnglish
650		0	_aБазы данных _2bicssc _92229
653			_aData mining
700	1		_aErdogmus, Pakize _4edt
700	1		_aKadry, Seifedine _4edt
700	1		_aSud, Keshav _4oth
700	1		_aErdogmus, Pakize _4oth
700	1		_aKadry, Seifedine _4oth
856	4	0	_awww.oapen.org _uhttps://mts.intechopen.com/storage/books/7664/authors_book/authors_book.pdf _70 _zDownload
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/67387 _70 _zDescription
909			_c4 _dDarya Shvetsova
942			_2udc _cEE
999			_c6559 _d6559