Machine learning decision sciences di sumathi rajappa (23 risultati)

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Paperback. Condizione: Brand New. 476 pages. 10.00x7.00x10.00 inches. In Stock.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

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.

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.

hardcover. Condizione: New. New .Ships From Multiple Locations. book.

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