000			02243nam a22002655i 4500
999			_c11810 _d11810
005			20200209154202.0
008			180214s2018 nyua 000 0 eng
010			_a 2018934677
020			_a9781484234228 (hard : alk. paper)
040			_aDLC _beng _erda _cDLC
042			_apcc
082			_223 _a005.133 _bP
245	0	0	_aPractical Python AI projects : _bmathematical models of optimization problems with Google or-tools / _c[edited by] Serge Kruk.
263			_a1802
264		1	_aNew York, NY : _bSpringer Science+Business Media, _c2018.
300			_a279 pages ; _billustrations : _c23 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
505		0	_a Introduction -- Linear continuous models -- Hidden linear continuous models -- Linear network models -- Classic discrete models -- Classic mixed models -- Advanced techniques
520			_aDiscover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models, and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations. Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study. You will: Build basic Python-based artificial intelligence (AI) applications Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite Create several types of projects using Python and Google OR-Tools
650		0	_a Python (Computer program language)
650		0	_aArtificial intelligence
942			_2ddc _cBK