Beginning Mathematica and Wolfram for data science : (Record no. 524)

MARC details
000 -LEADER
fixed length control field 02371nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220904223535.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484265932
040 ## - CATALOGING SOURCE
Transcribing agency 0
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 510.285 ALV
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Edition number 0
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Alva, Jalil Villalobos
245 ## - TITLE STATEMENT
Title Beginning Mathematica and Wolfram for data science :
Remainder of title applications in data analysis, machine learning, and neural networks
Statement of responsibility, etc. Jalil Villalobos Alva
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. press, Berkeley, CA
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 416 pages
Other physical details charts
Dimensions 23 cm
520 ## - SUMMARY, ETC.
Summary, etc. 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 explore data and describe the concepts using Wolfram language commands 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 new to using Wolfram and Mathematica as a language/tool to program in. Programmers should have some prior programming experience, but can be new to the Wolfram language
843 ## - REPRODUCTION NOTE
Type of reproduction Photocopy
887 ## - NON-MARC INFORMATION FIELD
Source of data CamTech Library
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date due Date last seen Date last checked out Copy number Price effective from Koha item type
    Dewey Decimal Classification     CamTech Library CamTech Library General Collections 09/04/2022 1 510.285 CamTech 000238 09/18/2022 09/04/2022 09/04/2022 C.1 09/04/2022 Books