ISBN: 9781032193564 - machine learning for decision sciences with case studies in python (23 risultati)

Condizione: New.

Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New. 2022. 1st Edition. hardcover. . . . . .

Condizione: NEW.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: New. In English.

Hardback. 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.…

Condizione: 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.

Condizione: New.

Condizione: New. 2022. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardback. 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.…

Hardcover. Condizione: Brand New. 400 pages. 10.00x7.00x1.65 inches. In Stock.

Buch. 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 learning Provides comprehensive coverage of feature engineering including real-time case studies Perceives the structural patterns with reference to data science and statistics and analytics Includes machine learning-based structured exercises Appreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learning This book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering. 478 pp. Englisch.…

Hardcover. Condizione: Brand New. 400 pages. 10.00x7.00x1.65 inches. In Stock. This item is printed on demand.

Buch. 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 learning Provides comprehensive coverage of feature engineering including real-time case studies Perceives the structural patterns with reference to data science and statistics and analytics Includes machine learning-based structured exercises Appreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learning This book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.…

Buch. 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: Taylor and Francis, Taylor & Francis Verlag Gmbh, Kaufingerstr 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu Print on Demand. …