000			03241cam a2200421Ii 4500
999			_c33708 _d33708
001			on1121267829
003			OCoLC
005			20200702121258.0
006			m d
007			cr nn||||mamaa
008			190930s2020 sz a o 000 0 eng d
020			_a3030266222
020			_a9783030266226 _q(electronic bk.)
020			_z9783030266219 _q(print)
024	8		_a10.1007/978-3-030-26
035			_a2258262
035			_a(OCoLC)1121267829
040			_aLQU _beng _cLQU _dGW5XE _dOCLCF _dN$T
049			_aMAIN
050		4	_aQ325.5
082	0	4	_a006.3/1 _223
082	0	4	_a621.382
100	1		_aJoshi, Ameet V.
245	1	0	_aMachine learning and artificial intelligence _h[electronic resource] / _cAmeet V Joshi.
264		1	_aCham : _bSpringer, _c2020.
300			_a1 online resource (xxii, 261 p.) : _bill. (some col.)
505	0		_aIntroduction -- Part I Introduction to AI and ML -- Essential concepts in AL and ML -- Part II Techniques for Static Machine Learning Models -- Perceptron and Neural Networks -- Decision Trees -- Advanced Decision Trees -- Support Vector Machines -- Probabilistic Models -- Deep Learning -- Part III Techniques for Dynamic Machine Learning Models -- Autoregressive and Moving Average Models -- Hidden Markov Models and Conditional Random Fields -- Recurrent Neural Networks -- Part IV Applications -- Classification Regression -- Ranking -- Clustering -- Recommendations -- Next Best Actions -- Designing ML Pipelines -- Using ML Libraries -- Azure Machine Learning Studio -- Conclusions.
520			_aThis book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. Presents a full reference to artificial intelligence and machine learning techniques - in theory and application; Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible; Connects all ML and AI techniques to applications and introduces implementations.
590			_aAdded to collection customer.56279.3
650		0	_aMachine learning.
650		0	_aArtificial intelligence.
650		7	_aArtificial intelligence. _2fast _0(OCoLC)fst00817247
650		7	_aMachine learning. _2fast _0(OCoLC)fst01004795
655		4	_aElectronic books.
850			_aNMUCL
856	4	0	_3EBSCOhost _uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2258262 _yClick to View
942			_2nlm _cEBK