01947nam a22002657a 4500 20260708164918.0 260708s2022 |||||||| |||| 00| 0 eng d 9781032193571 PK-LaUMT 006.31 MAC- Machine learning for decision sciences with case studies in Python / S. Sumathi . . . [et al.] Boca Raton : CRC Press, 2024 xxi, 454 p. Includes bibliographical references and index. "This book provides a detailed description of machine learning algorithms in Data Analytics, Data Science Lifecycle, 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 industry. 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, Electrical, and Computer Engineering"-- Provided by publisher Eng Python (Computer program language) 3584 Machine learning Big data Sumathi, S. 13439 Rajappa, Suresh 13440 Kumar, L. Ashok 13441 Paneerselvam, Surekha 13442 BK 141338 141338 0 0 0 0 01 01 2026-07-08 0 006.31 MAC- 153251 2026-07-08 16:49:31 2026-07-08 BK