Data Science Design Manual (Record no. 10287)

MARC details
000 -LEADER
fixed length control field 02281nam a2200157 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240904b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319554433 - hbk
100 ## - MAIN ENTRY--AUTHOR
Author David Gries, Orit Hazzan, & Fred B. Schneider (ed.)
245 ## - TITLE STATEMENT
Title Data Science Design Manual
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Switzerland:
Name of publisher Springer,
Date of publication 2017
300 ## - COLLATION
Pagination xvii, 445p., illus.
Other physical details includes bibliographical references
520 ## - SUMMARY, ETC.
Summary, etc This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an �Introduction to Data Science� course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains �War Stories,� offering perspectives on how data science applies in the real world Includes �Homework Problems,� providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides �Take-Home Lessons,� emphasizing the big-picture concepts to learn from each chapter Recommends exciting �Kaggle Challenges� from the online platform Kaggle Highlights �False Starts,� revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show �The Quant Shop� (www.quant-shop.com).
650 ## - TRACINGS
Main Subject 1. Mathematics -- Instruments and machines
650 ## - TRACINGS
Main Subject 2. Calculating machines
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Holdings
Source of classification or shelving scheme Not for loan Permanent location Current location Shelving location Date acquired Accession No. Full call number Barcode. Copy number Koha item type
Library of Congress Classification   Kwara State University Library Kwara State University Library Main Library 2024-09-04 021627 - 01 QA76 .D38 2017 021627 - 01 01 Books