Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 192,24
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 211,07
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 211,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 223,42
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: California Books, Miami, FL, U.S.A.
EUR 236,39
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Chiron Media, Wallingford, Regno Unito
EUR 222,27
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 224,20
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 192,26
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: NEW.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 256,55
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2022. 1st Edition. hardcover. . . . . .
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032193565 ISBN 13: 9781032193564
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 286,41
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.Features:Explains the basic concepts of Python and its role in machine learningProvides comprehensive coverage of feature engineering including real-time case studiesPerceives the structural patterns with reference to data science and statistics and analyticsIncludes machine learning-based structured exercisesAppreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learningThis book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.
EUR 240,60
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. Dr. S. Sumathi is working as a Professor in the Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore with teaching and research experience of 30 years. Her research interests include Neural Networks.
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2022. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
EUR 265,15
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Machine Learning for Decision Sciences with Case Studies in Python | S. Sumathi (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2022 | CRC Press | EAN 9781032193564 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032193565 ISBN 13: 9781032193564
Da: Rarewaves.com UK, London, Regno Unito
EUR 267,89
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.Features:Explains the basic concepts of Python and its role in machine learningProvides comprehensive coverage of feature engineering including real-time case studiesPerceives the structural patterns with reference to data science and statistics and analyticsIncludes machine learning-based structured exercisesAppreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learningThis book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.
Da: Revaluation Books, Exeter, Regno Unito
EUR 335,29
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 400 pages. 10.00x7.00x1.65 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 228,69
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 237,99
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 226,40
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.Features:Explains the basic concepts of Python and its role in machine learningProvides comprehensive coverage of feature engineering including real-time case studiesPerceives the structural patterns with reference to data science and statistics and analyticsIncludes machine learning-based structured exercisesAppreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learningThis book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering. 478 pp. Englisch.
Da: Revaluation Books, Exeter, Regno Unito
EUR 275,16
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 400 pages. 10.00x7.00x1.65 inches. In Stock. This item is printed on demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 249,59
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.Features:Explains the basic concepts of Python and its role in machine learningProvides comprehensive coverage of feature engineering including real-time case studiesPerceives the structural patterns with reference to data science and statistics and analyticsIncludes machine learning-based structured exercisesAppreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learningThis book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.