000			02062nam a22002777a 4500
001			sulb0076065
003			BD-SySUS
005			20220724094709.0
008			220724s2020 nju 000 0 eng d
020			_a9780135565667 _q(paperback)
020			_z9780135588383 _q(epub)
040			_aDLC _beng _erda _cDLC _dBD-SySUS
082			_222 _a006.31 _bESI
100	1		_aEsposito, Dino, _eauthor. _918682
245	1	0	_aIntroducing machine learning / _cDino Esposito, Francesco Esposito.
250			_a1.
263			_a2002
264		1	_aHoboken : _bPearson Education, Inc., _c2020.
300			_apages cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
520			_a"Today, machine learning offers software professionals unparalleled opportunity for career growth. In Introducing Machine Learning, best-selling software development author, trainer, and consultant Dino Esposito offers a complete introduction to the field for programmers, architects, lead developers, and managers alike. Esposito begins by illuminating what's known about how humans and machines learn, introducing the most important classes of machine learning algorithms, and explaining what each of them can do. Esposito demystifies key concepts ranging from neural networks to supervised and unsupervised learning. Next, he explains each step needed to build a successful machine learning solution, from collecting and fine-tuning source data to building and testing your solution. Then, building on these essentials, he guides you through constructing two complete solutions with ML.NET, Microsoft's powerful open source and cross-platform machine learning framework. Step by step, you'll create systems for performing sentiment analysis on social feeds, and analyzing traffic to predict accidents. By the time you're finished, you'll be ready to participate in data science projects and build working solutions of your own"-- _cProvided by publisher.
700	1		_aEsposito, Francesco, _eauthor. _918682
942			_2ddc _cBK
999			_c76461 _d76461