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Titlebook: Beginning Mathematica and Wolfram for Data Science; Applications in Data Jalil Villalobos Alva Book 20211st edition Jalil Villalobos Alva 2

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发表于 2025-3-21 16:16:14 | 显示全部楼层 |阅读模式
期刊全称Beginning Mathematica and Wolfram for Data Science
期刊简称Applications in Data
影响因子2023Jalil Villalobos Alva
视频video
发行地址The first introduction to data science using Mathematica and Wolfram.Covers very popular in-demand topics such as machine learning and neural networks.Includes freely available source code
图书封面Titlebook: Beginning Mathematica and Wolfram for Data Science; Applications in Data Jalil Villalobos Alva Book 20211st edition Jalil Villalobos Alva 2
影响因子.Enhance 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 exploredata and describe the concepts using Wolfram language c
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发表于 2025-3-22 00:19:41 | 显示全部楼层
A Hypergame Analysis for ErsatzPasswordsto the associations, how to associate keys with values and understand that they are fundamental for the correct construction of datasets in the Wolfram Language. We conclude with a final overview on how associations are abstract constructions of hierarchical data.
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发表于 2025-3-22 11:45:31 | 显示全部楼层
Working with Data and Datasets,to the associations, how to associate keys with values and understand that they are fundamental for the correct construction of datasets in the Wolfram Language. We conclude with a final overview on how associations are abstract constructions of hierarchical data.
发表于 2025-3-22 16:53:57 | 显示全部楼层
发表于 2025-3-22 19:33:54 | 显示全部楼层
Data Exploration, the data from this platform through the use of the Wolfram Language as well as its representation of data in the form dataset as well as using the Query command. We will also look at how data can be viewed inside datasets, how to apply user functions, and commands inside the format dataset.
发表于 2025-3-22 21:39:51 | 显示全部楼层
Book 20211st editionok 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 sci
发表于 2025-3-23 02:17:01 | 显示全部楼层
Divya Hiran,Hemant Kothari,Shivoham Singhfor these functions. In each case, we will explain which parts of the model are fundamental for the correct construction using the Wolfram Language. For this part of the book we will use examples of known datasets such as the Fisher‘s Irises dataset, Boston housing dataset, and the Titanic dataset.
发表于 2025-3-23 07:53:19 | 显示全部楼层
Machine Learning with the Wolfram Language,for these functions. In each case, we will explain which parts of the model are fundamental for the correct construction using the Wolfram Language. For this part of the book we will use examples of known datasets such as the Fisher‘s Irises dataset, Boston housing dataset, and the Titanic dataset.
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