{"product_id":"beginning-mathematica-and-wolfram-for-data-science-applications-in-data-analysis-machine-learning-and-neural-networks-9781484265932","title":"Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis Machine Learning and Neural Networks","description":"\u003cp\u003e • Author(s): Villalobos Alva | Jalil\u003cbr\u003e • Publisher: Springer Verlag\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • Subject: Computer Science and Information Technology\u003cbr\u003e • BISAC: General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEnhance 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.\u003c\/p\u003e\u003cp\u003eYou'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. \u003c\/p\u003e\u003cp\u003eYou'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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eUse Mathematica to explore data and describe the concepts using Wolfram language commands\u003c\/li\u003e \u003cli\u003eCreate datasets, work with data frames, and create tables\u003c\/li\u003e \u003cli\u003eImport, export, analyze, and visualize data\u003c\/li\u003e \u003cli\u003eWork with the Wolfram data repository \u003c\/li\u003e \u003cli\u003eBuild reports on the analysis\u003c\/li\u003e \u003cli\u003eUse Mathematica for machine learning, with different algorithms, including linear, multiple, and logistic regression; decision trees; and data clustering\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e 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.\u003cbr\u003e\u003c\/p\u003e","brand":"Springer Verlag","offers":[{"title":"Paperback","offer_id":45091088466071,"sku":"9781484265932","price":3860.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781484265932.webp?v=1769203691","url":"https:\/\/atlanticbooks.com\/products\/beginning-mathematica-and-wolfram-for-data-science-applications-in-data-analysis-machine-learning-and-neural-networks-9781484265932","provider":"Atlantic Books","version":"1.0","type":"link"}