01863nam a22002417a 450000500170000000800410001702000180005804000130007608200170008924501000010626000350020630000160024150000510025752011500030854600080145865000390146665000210150565000130152670000160153970000200155570000200157570000260159520260708164918.0260708s2022    |||||||| |||| 00| 0 eng d  a9781032193571  cPK-LaUMT  a006.31bMAC-00aMachine learning for decision sciences with case studies in Python /cS. Sumathi . . . [et al.]  aBoca Raton :bCRC Press,c2024  axxi, 454 p.  aIncludes bibliographical references and index.  a"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  aEng  aPython (Computer program language)  aMachine learning  aBig data1 aSumathi, S.1 aRajappa, Suresh1 aKumar, L. Ashok1 aPaneerselvam, Surekha