9789393330697 - machine learning: theory and practice di murty, m.n.; ananthanarayana, v.s. (9 risultati)
- Brossura
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 15,27
EUR 7,53 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New.
- Brossura
Da: Books Puddle, New York, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 21,21
EUR 3,46 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New.
- Brossura
Da: Biblios, frankfurt am main, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 15,22
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New.
Da: Books in my Basket, New Delhi, IndiaBooks in my Basket
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 11,68
EUR 20,00 spedizioneSpedito da India a U.S.A.Quantità: 1 disponibili
N.A. Condizione: New. ISBN:9789393330697 N.A.
- Brossura
Da: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 20,10
EUR 17,50 spedizioneSpedito da India a U.S.A.Quantità: 5 disponibili
Soft cover. Condizione: New. Machine Learning is a cutting-edge branch of Artificial Intelligence that has brought forth exciting new technological advances in recent years. This book introduces this important topic of current interest while also explaining its practical applications. Aimed at graduate students, teachers and res…earchers, this book will also help practitioners in implementing ML algorithms. This book explores concepts such as feature engineering, model selection, model estimation, model validation and model explanation and provides an in-depth discussion of the main classification and clustering techniques and algorithms. It also examines optimal predictors and provides an introduction to Deep Learning architecture, including autoencoders and various neural networks. This book is a valuable resource for anyone interested in machine learning, data mining and pattern recognition. Salient features- 1. Clear and concise chapter learning objectives and summary of topics 2. Over 125 solved examples to aid and enhance understanding of concepts 3. Over 150 figures to provide visual impact and envisage abstract concepts 4. Applications drawn from real-life data sets 5. Over 125 conceptual and application-based exercise questions 6. Comprehensive bibliography of sources and topics for further reading 7. Appendix with hints in the form of code snippets for all the practical exercises 8. Android app with chapter-wise PowerPoint slides and code snippets for the ML programs given in the book.
- Brossura
Da: PBShop.store UK, Fairford, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 37,95
EUR 5,82 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Brossura
Da: Grand Eagle Retail, Bensenville, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 49,34
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Machine Learning is a cutting-edge branch of Artificial Intelligence that has brought forth exciting new technological advances in recent years. This book introduces this important topic of current interest while also explaining its practical applications. Aimed at graduate students, teache…rs and researchers, this book will also help practitioners in implementing ML algorithms. This book explores concepts such as feature engineering, model selection, model estimation, model validation and model explanation and provides an in-depth discussion of the main classification and clustering techniques and algorithms. It also examines optimal predictors and provides an introduction to Deep Learning architecture, including autoencoders and various neural networks. This book is a valuable resource for anyone interested in machine learning, data mining and pattern recognition. Salient features- 1. Clear and concise chapter learning objectives and summary of topics 2. Over 125 solved examples to aid and enhance understanding of concepts 3. Over 150 figures to provide visual impact and envisage abstract concepts 4. Applications drawn from real-life data sets 5. Over 125 conceptual and application-based exercise questions 6. Comprehensive bibliography of sources and topics for further reading 7. Appendix with hints in the form of code snippets for all the practical exercises 8. Android app with chapter-wise PowerPoint slides and code snippets for the ML programs given in the book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Brossura
Da: AussieBookSeller, Truganina, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 76,61
EUR 32,08 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Machine Learning is a cutting-edge branch of Artificial Intelligence that has brought forth exciting new technological advances in recent years. This book introduces this important topic of current interest while also explaining its practical applications. Aimed at graduate students, teache…rs and researchers, this book will also help practitioners in implementing ML algorithms. This book explores concepts such as feature engineering, model selection, model estimation, model validation and model explanation and provides an in-depth discussion of the main classification and clustering techniques and algorithms. It also examines optimal predictors and provides an introduction to Deep Learning architecture, including autoencoders and various neural networks. This book is a valuable resource for anyone interested in machine learning, data mining and pattern recognition. Salient features- 1. Clear and concise chapter learning objectives and summary of topics 2. Over 125 solved examples to aid and enhance understanding of concepts 3. Over 150 figures to provide visual impact and envisage abstract concepts 4. Applications drawn from real-life data sets 5. Over 125 conceptual and application-based exercise questions 6. Comprehensive bibliography of sources and topics for further reading 7. Appendix with hints in the form of code snippets for all the practical exercises 8. Android app with chapter-wise PowerPoint slides and code snippets for the ML programs given in the book. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,47
EUR 62,61 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Neuware - Over 125 conceptual and application-based exercise questions 6. Comprehensive bibliography of sources and topics for further reading 7. Appendix with hints in the form of code snippets for all the practical exercises 8. Android app with chapter-wise PowerPoint slides and code snippets for…the ML programs given in the book.
