000			01780nam a22002057a 4500
005			20260708170553.0
008			260708s2024 |||||||| |||| 00| 0 eng d
020			_a9780367751968
040			_cPK-LaUMT
082			_a006.312 _bTRU-D
100	1		_aTruong, Dothang _913448
245	1	0	_aData science and machine learning for non-programmers : _busing SAS Enterprise miner / _cDothang Truong
260			_aBoca Raton : _bCRC Press, _c2024
300			_axii, 577 p.
500			_aIncludes bibliographical references and index.
520			_a"As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilise machine learning effectively. Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders. Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers and industry professionals from various backgrounds"-- Provided by publisher
546			_aEng
650			_aData mining
942			_cBK
999			_c141341 _d141341