


The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. Trademarked names, logos, and images may appear in this book.

All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. How Computations are Made (Form of Input)Ĭhapter 3: Working with Data and DatasetsĮxtracting Data from the Wolfram Data RepositoryĬhapter 8: Machine Learning with the Wolfram LanguageĬhapter 9: Neural Networks with the Wolfram Languageīeginning Mathematica and Wolfram for Data Science Applications in Data Analysis, Machine Learning, and Neural Networks - Jalil Villalobos Alvaīeginning Mathematica and Wolfram for Data Science Applications in Data Analysis, Machine Learning, and Neural Networksīeginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks Jalil Villalobos Alva Mexico City, Mexico ISBN-13 (pbk): 978-1-4842-6593-2 Ĭopyright © 2021 by Jalil Villalobos Alva This work is subject to copyright.
