Bataan Peninsula State University

The data science design manual / (Record no. 4710)

MARC details
000 -LEADER
fixed length control field 02714nam a22002895i 4500
001 - CONTROL NUMBER
control field 36655
003 - CONTROL NUMBER IDENTIFIER
control field 0000000000
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240411192324.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170522s2017 nyu s 000 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2017943201
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319554433
035 ## - SYSTEM CONTROL NUMBER
System control number 19656144
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Skiena, Steven S.
245 04 - TITLE STATEMENT
Title The data science design manual /
Statement of responsibility, etc. Steven S. Skiena.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 1706
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg,
Date of production, publication, distribution, manufacture, or copyright notice 2017.
300 ## - PHYSICAL DESCRIPTION
Extent pages cm.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
500 ## - GENERAL NOTE
General note 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 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical statistics--Data processing.
Source of heading or term sears
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/15RgHavBaL5pISGkyePYgTKqDkNsnOaSp/view?usp=sharing">https://drive.google.com/file/d/15RgHavBaL5pISGkyePYgTKqDkNsnOaSp/view?usp=sharing</a>
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Main Library Main Library E-Resources 07/17/2020 519.50285 Sk628 E000586 03/07/2024 03/07/2024 E-Resources
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