000			02371nam a22002177a 4500
003			OSt
005			20220904223535.0
008			220904b |||||||| |||| 00| 0 eng d
020			_a9781484265932
040			_c0
082			_a510.285 ALV
092			_20
100			_aAlva, Jalil Villalobos
245			_a Beginning Mathematica and Wolfram for data science : _bapplications in data analysis, machine learning, and neural networks _cJalil Villalobos Alva
260			_bpress, Berkeley, CA _c2021
300			_a416 pages _bcharts _c23 cm
520			_aEnhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages. You'll see how to use the Wolfram language for data science from a theoretical and practical perspective. Learning this language makes your data science code better because it is very intuitive and comes with pre-existing functions that can provide a welcoming experience for those who use other programming languages. You'll cover how to use Mathematica where data management and mathematical computations are needed. Along the way you'll appreciate how Mathematica provides a complete integrated platform: it has a mixed syntax as a result of its symbolic and numerical calculations allowing it to carry out various processes without superfluous lines of code. You'll learn to use its notebooks as a standard format, which also serves to create detailed reports of the processes carried out. What You Will Learn Use Mathematica to explore data and describe the concepts using Wolfram language commands Create datasets, work with data frames, and create tables Import, export, analyze, and visualize data Work with the Wolfram data repository Build reports on the analysis Use Mathematica for machine learning, with different algorithms, including linear, multiple, and logistic regression; decision trees; and data clustering Who This Book Is For Data scientists new to using Wolfram and Mathematica as a language/tool to program in. Programmers should have some prior programming experience, but can be new to the Wolfram language
843			_aPhotocopy
887			_2CamTech Library
942			_2ddc _cBK _n0
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