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 |
Browsing IIITD shelves, Shelving location: General Stacks, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)
006.31 TRA-A Architecting data and machine learning platform : enable analytics and AI-driven innovation in the cloud | 006.31 WAR-T TinyML : | 006.312 AGG-R Recommender systems : | 006.312 BIR-A The art and science of analyzing software data | 006.312 EAG-R Reality mining : | 006.312 FRA-9 97 things about ethics everyone in data science should know : | 006.312 JAN-D Data analysis : |
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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