000			01656 a2200241 4500
005			20251014161828.0
008			251014b |||||||| |||| 00| 0 eng d
020			_a9780323917780
041			_aeng
082			_a005.74 _bKalF
100			_aKalita, Jugal K.
245			_aFundamentals of Data Science : _bTheory and Practice / _cJugal K. Kalita, Dhruba K. Bhattacharyya & Swarup Roy
260			_aUnited Kingdom: _bAcademic Press; _c©2024
300			_axxvi, 307p.
520			_aFundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors’ research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data. The book's authors include a systematic presentation of many predictive and descriptive learning algorithms, including recent developments that have successfully handled large datasets with high accuracy. In addition, a number of descriptive learning tasks are included.
650			_aComputer Science
650			_aData Science
650			_aMachine Learning
650			_aArtificial Neural Networks
700			_aBhattacharyya, Dhruba K.
700			_aRoy, Swarup
942			_cBK
999			_c7454 _d7454