Welcome to Beginning Mathematica and Wolfram for Data Science. To my family that supported me on all aspects. SSBM Finance Inc is a Delaware corporation. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail or visit Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.ĭistributed to the book trade worldwide by Apress Media, LLC, 1 New York Plaza, New York, NY 10004, U.S.A. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The use of general descriptive names, registered names, trademarks, service marks, etc. 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. Programmers should have some prior programming experience, but can be new to the Wolfram language.īeginning Mathematica and Wolfram for Data ScienceĪpplications in Data Analysis, Machine Learning, and Neural NetworksĪny source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the book’s product page, located at For more detailed information, please visit ISBN 978-1-4842-6593-2e-ISBN 978-1-4842-6594-9 Use Mathematica for machine learning, with different algorithms, including linear, multiple, and logistic regression decision trees and data clusteringĭata scientists new to using Wolfram and Mathematica as a language/tool to program in.Import, export, analyze, and visualize data.Create datasets, work with data frames, and create tables.Use Mathematica to explore data and describe the concepts using Wolfram language commands.You’ll learn to use its notebooks as a standard format, which also serves to create detailed reports of the processes carried out. 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 cover how to use Mathematica where data management and mathematical computations are needed. 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 see how to use the Wolfram language for data science from a theoretical and practical perspective. 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. Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite.
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