Automated machine learning : methods, systems, challenges /: methods, systems, challenges. (2019)
- Record Type:
- Book
- Title:
- Automated machine learning : methods, systems, challenges /: methods, systems, challenges. (2019)
- Main Title:
- Automated machine learning : methods, systems, challenges
- Further Information:
- Note: Frank Hutter, Lars Kotthoff, Joaquin Vanschoren, editors.
- Editors:
- Hutter, Frank
Kotthoff, Lars
Vanschoren, Joaquin - Contents:
- 1 Hyperparameter Optimization.- 2 Meta-Learning.- 3 Neural Architecture Search.- 4 Auto-WEKA.- 5 Hyperopt-Sklearn.- 6 Auto-sklearn.- 7 Towards Automatically-Tuned Deep Neural Networks.- 8 TPOT.- 9 The Automatic Statistician.- 10 AutoML Challenges.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource (xiv, 219 pages), illustrations (some color)
- Subjects:
- 006.3/1
Machine learning
Electronic books - Languages:
- English
- ISBNs:
- 9783030053185
3030053180 - Related ISBNs:
- 9783030053178
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed June 19, 2019).
- 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.425929
- Ingest File:
- 02_538.xml