000			01495nam a22002297a 4500
005			20251029162100.0
008			251029b |||||||| |||| 00| 0 eng d
020			_a9781637427484
082			_a006.31 _bSAH
100			_aSahay, Rajeev _925929
245			_aMachine learning fundamentals: _bconcepts, models, and applications
260			_aNew York _bBusiness Expert Press _c2025
300			_axviii, 243 p.
365			_aUSD _b37.99
520			_aThis book covers ML fundamentals, processes, and applications, that are used as industry standards. Both supervised and unsupervised learning ML models are discussed. Topics include data collection and feature engineering techniques as well as regression, classification, neural networks (deep learning), and clustering. Motivated by the success of ML in various fields, this book is designed for a wide audience coming from various disciplines such as engineering, IT, or business and is suitable for those getting started with ML for the first time. This text can also serve as the main or supplementary text in any introductory data science course from any discipline, offering real-world applications and tools in all areas. (https://www.businessexpertpress.com/books/machine-learning-fundamentals-concepts-models-and-applications/)
650			_aData science
650			_aBusiness Analaysics _925930
650			_aBig data
650			_aSmart Technology collection _925931
700			_aSahay, Amar _925932
942			_cBK _2ddc
999			_c10475 _d10475