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Subfields |
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|a Alva, Jalil Villalobos,
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| 245 |
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0 |
|a Beginning Mathematica and Wolfram for Data Science :
|b Applications in Data Analysis, Machine Learning, and Neural Networks /
|c by Jalil Villalobos Alva.
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|a [Place of publication not identified] :
|b Apress,
|c 2021.
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|a 1 online resource (416 pages) :
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| 520 |
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|a Enhance your data science programming and analysis with the Wolfram programming language and Mathematica. The book will introduce you to the language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages. --
|c Edited summary from book.
|
| 555 |
0 |
|
|a Available in electronic full text to members of the University via the Library web catalogue.
|
| 588 |
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|
|a Online resource; title from title screen (Skillsoft Books).
|
| 505 |
0 |
|
|a 1. Introduction to Mathematica -- 2. Data Manipulation -- 3. Working with Data and Datasets -- 4. Import and Export -- 5. Data Visualization -- 6. Statistical Data Analysis -- 7. Data Exploration -- 8. Machine Learning with the Wolfram Language -- 9. Neural Networks with the Wolfram Language -- 10. Neural Network Framework.
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| 998 |
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