Machine learning for the quantified self : on the art of learning from sensory data /: on the art of learning from sensory data. ([2018])
- Record Type:
- Book
- Title:
- Machine learning for the quantified self : on the art of learning from sensory data /: on the art of learning from sensory data. ([2018])
- Main Title:
- Machine learning for the quantified self : on the art of learning from sensory data
- Further Information:
- Note: Mark Hoogendoorn, Burkhardt Funk.
- Authors:
- Hoogendoorn, Mark
Funk, Burkhardt - Contents:
- Introduction.- Basics of Sensory Data.- Feature Engineering based on Sensory Data.- Predictive Modeling without Notion of Time.- Predictive Modeling with Notion of Time.- Reinforcement Learning to Provide Feedback and Support.- Discussion.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Copyright Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 006.3/1
620
Engineering
Machine learning
COMPUTERS / General
Machine learning
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Artificial intelligence
Electronic books - Languages:
- English
- ISBNs:
- 9783319663081
3319663089 - Related ISBNs:
- 9783319663074
3319663070 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed October 9, 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.347430
- Ingest File:
- 01_301.xml