The art and science of analyzing software data
Material type: TextPublication details: New York : Morgan Kaufmann, ©2015Description: xxiii, 660 p. : ill. ; 24 cmISBN:- 9780124115194
- 006.312 BIR-A
- QA76.6 .A765 2015
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | IIITD General Stacks | Computer Science and Engineering | 006.312 BIR-A (Browse shelf(Opens below)) | Checked out | 19/03/2024 | 010574 |
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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