000			01548nam a2200229 4500
003			ISI Library, Kolkata
005			20260506153234.0
008			210101s2021 xxu b 001 0 eng d
020			_a9781639873333
040			_aISI Library
082	0	4	_223 _a006.31 _bP361
100	1		_aPearson, Jacob
245	1	0	_aIntroduction to machine learning / _cJacob Pearson.
250			_a2021 edition.
260			_aN.Y. : _bMurphy & Moore, _c2021
300			_axii, 350 pages : _billustrations ; _c24 cm
504			_aIncludes bibliographical references and index.
520			_aIntroduction to Machine Learning by Jacob Pearson offers a foundational overview of the core principles, techniques, and applications of machine learning within the broader field of Artificial Intelligence. The book introduces key concepts such as supervised and unsupervised learning, model evaluation, feature selection, and common algorithms including regression, classification, clustering, and neural networks. It balances theoretical understanding with practical implementation, often illustrating how data-driven models are built, trained, and optimized for real-world problems. Emphasis is placed on interpreting results, avoiding overfitting, and understanding the ethical implications of automated decision-making. Designed for beginners and early learners, it serves as a bridge between basic statistical reasoning and more advanced machine learning methodologies.
650		0	_aMachine learning.
650		0	_aArtificial intelligence.
942			_2ddc _cBK
999			_c437776 _d437776