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    1. Home
    2. MARC view: Data science: the hard parts :
    Normal view MARC view ISBD view

    Data science: the hard parts : (Record no. 19707)

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    MARC details
    000 -LEADER
    fixed length control field 02226nam a22003737a 4500
    003 - CONTROL NUMBER IDENTIFIER
    control field BT-SaRUSC
    005 - DATE AND TIME OF LATEST TRANSACTION
    control field 20250326145346.0
    008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
    fixed length control field 250326b |||||||| |||| 00| 0 eng d
    020 ## - INTERNATIONAL STANDARD BOOK NUMBER
    International Standard Book Number 9781098146474
    Qualifying information paperback
    040 ## - CATALOGING SOURCE
    Transcribing agency BT-SaRUSC
    082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
    Classification number 006.312
    Edition number 23
    Item number VAU
    100 1# - MAIN ENTRY--PERSONAL NAME
    Personal name Vaughan, Daniel,
    Relator term author.
    245 10 - TITLE STATEMENT
    Title Data science: the hard parts :
    Remainder of title techniques for excelling at data science /
    Statement of responsibility, etc Daniel Vaughan.
    246 30 - VARYING FORM OF TITLE
    Title proper/short title Techniques for excelling at data science
    250 ## - EDITION STATEMENT
    Edition statement First edition.
    260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
    Place of publication, distribution, etc Beijing :
    Name of publisher, distributor, etc O'Reilly Media,
    Date of publication, distribution, etc 2024.
    300 ## - PHYSICAL DESCRIPTION
    Extent xvi, 237 pages :
    Other physical details illustrations, charts ;
    Dimensions 24 cm
    500 ## - GENERAL NOTE
    General note Includes index.
    520 ## - SUMMARY, ETC.
    Summary, etc This hands-on guide offers a set of techniques and best practices that are often missed in conventional data engineering and data science education. A common misconception is that great data scientists are experts in the "bit themes" of the discipline, namely ML and programming. But most of the time, these tools can only take us so far. In reality, it's the nuances within these large themes, and the ability to impact the business, that truly distinguish a top-notch data scientist from an average one. Taken as a whole, the lessons in this book make the difference between an average data scientist candidate and an exceptional data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries.
    541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
    Source of acquisition Book Aid International 2024 (Donated by the Bhutan Society of the UK Trust Fund)
    Date of acquisition 19/3/25
    Accession number D 5297-A21175
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Electronic data processing.
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Big data.
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Database management.
    650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Data mining.
    650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Données volumineuses.
    650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Bases de données
    General subdivision Gestion.
    650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Exploration de données (Informatique)
    650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Big data
    Source of heading or term fast
    650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Data mining
    Source of heading or term fast
    650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Database management
    Source of heading or term fast
    650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
    Topical term or geographic name as entry element Electronic data processing
    Source of heading or term fast
    776 08 - ADDITIONAL PHYSICAL FORM ENTRY
    Display text Online version:
    Main entry heading Vaughan, Daniel.
    Title Data science.
    Edition First edition.
    Place, publisher, and date of publication Sebastopol, [California] : O'Reilly Media, 2023
    International Standard Book Number 9781098146443
    Record control number (OCoLC)1407278110
    942 ## - ADDED ENTRY ELEMENTS (KOHA)
    Source of classification or shelving scheme Dewey Decimal Classification
    Koha item type Books
    Holdings
    Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Inventory number Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Dewey Decimal Classification     Non-fiction Samtse College of Education Samtse College of Education General Stacks 26/03/2025 D 5297   006.312 VAU A21175 26/03/2025 26/03/2025 Books
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