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008			221029s2022 si | s |||| 0|eng d
020			_a9789811686153
024	7		_a10.1007/978-981-16-8615-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.73.P98 _b2022 EB
100	1		_aToe, Teoh Teik _eautor _0(orcid)0000-0001-9290-5517 _1https://orcid.org/0000-0001-9290-5517 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9682302
245	1	0	_aArtificial Intelligence with Python _cby Teik Toe Teoh, Zheng Rong
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publising _c2022
300			_a1 recurso en línea (XIV, 336 páginas) _b20 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMachine Learning: Foundations Methodologies and Applications _x2730-9916
505	0		_aPart I Python -- 1 About Python -- 2 What's Python? -- 3 An Introductory Example -- 4 Basic Python -- 5 Intermediate Python -- 6 Advanced Python -- 7 Python for data analysis -- Part II Artificial Intelligence Basics -- 8 Introduction to artificial intelligence -- 9 Data wrangling -- 10 Regression -- 11 Classification -- 12 Clustering -- 13 Association Rules -- Part III Artificial Intelligence -- Implementations -- 14 Text Mining -- 15 Image Processing -- 16 Convolutional Neural Networks -- 17 Chatbot, Speech and NLP -- 18 Deep Convolutional Generative Adversarial Network -- 19 Neural style transfer -- 20 Reinforcement learning -- 21 References.
520			_aEntering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon's Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence. This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.
988			_aSpringer_Computer_2022
650		7	_2embne _9161036 _aPython (Lenguaje de programación)
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aZheng, Rong _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9101866
776	0	8	_iPrinted edition: _z9789811686146
776	0	8	_iPrinted edition: _z9789811686160
776	0	8	_iPrinted edition: _z9789811693229
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-8615-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b10/2022 _dz _eIG _zSI