Algorithms for data science. (2016)
- Record Type:
- Book
- Title:
- Algorithms for data science. (2016)
- Main Title:
- Algorithms for data science
- Further Information:
- Note: Brian Steele, John Chandler, Swarna Reddy.
- Authors:
- Steele, Brian
Chandler, John
Reddy, Swarna - Contents:
- Introduction -- Data Mapping and Data Dictionaries -- Scalable Algorithms and Associative Statistics -- Hadoop and MapReduce -- Data Visualization -- Linear Regression Methods -- Healthcare Analytics -- Cluster Analysis -- k-Nearest Neighbor Prediction Functions -- The Multinomial Naive Bayes Prediction Function -- Forecasting -- Real-time Analytics.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2016
- Extent:
- 1 online resource (xxiii, 430 pages), illustrations (some color)
- Subjects:
- 001.4/20151
Computer science
Quantitative research -- Mathematics
Computer science
Computer science -- Mathematics
Data mining
Medical informatics
Statistics
Computers -- Mathematical & Statistical Software
Computers -- Data Processing
Medical -- General
Mathematical & statistical software
Mathematical theory of computation
Medical equipment & techniques
Data mining
Mathematical statistics
Medical records_xData processing
Computers -- Database Management -- Data Mining
Data mining
Electronic books - Languages:
- English
- ISBNs:
- 9783319457970
3319457977
3319457950
9783319457956 - Related ISBNs:
- 9783319457956
- Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed January 11, 2017). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.356673
- Ingest File:
- 01_318.xml