9789390620098 - artificial intelligence and machine learning: theory and practice di lyla b. das (author); sudhish n. george (author) & anup aprem (author) (4 risultati)
Lingua: Inglese
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 13,51
EUR 7,57 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New.
Lingua: Inglese
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 18,63
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Condizione: New.
Da: Books in my Basket, New Delhi, IndiaBooks in my Basket
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 9,48
EUR 18,00 spedizioneSpedito da India a U.S.A.Quantità: 4 disponibili
N.A. Condizione: New. ISBN:9789390620098.
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Da: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 19,96
EUR 17,50 spedizioneSpedito da India a U.S.A.Quantità: 5 disponibili
Soft cover. Condizione: New. This book is designed for undergraduates, postgraduates and professionals who want to have a firm grip on the fundamental principles of AI and ML. Artificial Intelligence (AI) is a broad area of knowledge which has percolated into every aspect of human life. ';Machine Learning algorithms' are conside…red to be a subset of AI Theory, mathematics and coding are three aspects to any topic in AI. This book covers the most relevant topics in the field of Artificial Intelligence and Machine Learning (ML). The subdivisions of Machine Learning are Supervised, Unsupervised and Reinforcement learning. All three are covered in sufficient depth. One very important and upcoming field of application is Natural Language Processing (NLP). A whole section of the book has been devoted to this. The book covers the conceptual, mathematical and numerical analysis of the important ML algorithms and their practical applications. The topics covered include AI search algorithms, Classical machine learning, Deep learning theory and popular networks, Natural Language Processing (NLP) and Reinforcement learning. Numerical examples and lucid explanations give the reader an easy entry into the world of AI and ML.
