Beginning Mathematica and Wolfram for Data Science | Applications in Data Analysis, Machine Learning, and Neural Networks

Jalil Villalobos Alva

ISBN 13: 9798868803475
Editorial: Apress, 2024
Nuevos Taschenbuch

Librería: preigu, Osnabrück, Alemania Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Vendedor de AbeBooks desde 5 de agosto de 2024

Este ejemplar en concreto ya no está disponible. Estas algunas de las coincidencias similares para Beginning Mathematica and Wolfram for Data Science | Applications in Data Analysis, Machine Learning, and Neural Networks de Jalil Villalobos Alva.

Descripción

Descripción:

Beginning Mathematica and Wolfram for Data Science | Applications in Data Analysis, Machine Learning, and Neural Networks | Jalil Villalobos Alva | Taschenbuch | xxiii | Englisch | 2024 | Apress | EAN 9798868803475 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de ref. del artículo 128797526

Denunciar este artículo

Sinopsis:

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. This second edition introduces the latest LLM Wolfram capabilities, delves into the exploration of data types in Mathematica, covers key programming concepts, and includes code performance and debugging techniques for code optimization.

You’ll gain a deeper understanding of data science from a theoretical and practical perspective using Mathematica and the Wolfram Language. 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. Existing topics have been reorganized for better context and to accommodate the introduction of Notebook styles. The book also incorporates new functionalities in code versions 13 and 14 for imported and exported data.  

You’ll see how to use Mathematica, where data management and mathematical computations are needed. Along the way, you’ll appreciate how Mathematica provides an entirely integrated platform: its symbolic and numerical calculation result in a mized syntax, 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

  • 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 who are new to using Wolfram and Mathematica as a programming language or tool. Programmers should have some prior programming experience, but can be new to the Wolfram language.

Acerca del autor:

Jalil Villalobos Alva is a Wolfram language programmer and Mathematica user. He graduated with a degree in engineering physics from the Universidad Iberoamericana in Mexico City. His research background comprises quantum physics, bionformatics, proteomics, and protein design. His academic interests cover the topics of quantum technology, bioinformatics, machine learning, artificial intelligence, stochastic processes, and space engineering. During his idle hours he likes to play soccer, swim, and listen to music.

"Sobre este título" puede pertenecer a otra edición de este libro.

Detalles bibliográficos

Título: Beginning Mathematica and Wolfram for Data ...
Editorial: Apress
Año de publicación: 2024
Encuadernación: Taschenbuch
Condición: Neu
Edición: 2ª Edición

Los mejores resultados en AbeBooks

Existen otras 4 copia(s) de este libro

Ver todos los resultados de su búsqueda