000			01590nam a2200229 4500
005			20250630164322.0
008			250626b |||||||| |||| 00| 0 eng d
020			_a9781032939391
040			_aCSL _cCSL
041			_2eng _aeng
084			_aB288 R3 _qCSL
245			_aMachine learning for business analytics _b: Real-time data analysis for decision-making
260			_aNew York : _bRoutledge, _c2025.
300			_axv, 173p. _b: ill. _c; 24 cm.
500			_aIncludes Index
520			_aMachine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions.
650			_aMachine learning _9480917
650			_aArtificial intelligence
650			_aDecision making
700			_aK,Hemachandran _eeditor. _9814696
942			_2CC _n0 _cTEXL _hB288 R3
999			_c1432994 _d1432994