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The art and science of analyzing software data

Contributor(s): Material type: TextTextPublication details: New York : Morgan Kaufmann, ©2015Description: xxiii, 660 p. : ill. ; 24 cmISBN:
  • 9780124115194
Subject(s): DDC classification:
  • 006.312 BIR-A
LOC classification:
  • QA76.6 .A765 2015
Online resources:
Contents:
1. TUTORIAL-TECHNIQUES -- 2. DATA/PROBLEM FOCUSSED -- 3. STORIES FROM THE TRENCHES -- 4. ADVANCED TOPICS -- 5. DATA ANALYSIS AT SCALE (BIG DATA)
Summary: A comprehensive guide to the art and science of analyzing software data, with best practices generated by leading data scientists, collected from their experience training software engineering students and practitioners on how to master data science.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Books Books IIITD General Stacks Computer Science and Engineering 006.312 BIR-A (Browse shelf(Opens below)) Checked out 19/03/2024 010574
Total holds: 0

Includes bibliographical references and index.

1. TUTORIAL-TECHNIQUES -- 2. DATA/PROBLEM FOCUSSED -- 3. STORIES FROM THE TRENCHES -- 4. ADVANCED TOPICS -- 5. DATA ANALYSIS AT SCALE (BIG DATA)

A comprehensive guide to the art and science of analyzing software data, with best practices generated by leading data scientists, collected from their experience training software engineering students and practitioners on how to master data science.

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