Machine learning for managers. (2023)
- Record Type:
- Book
- Title:
- Machine learning for managers. (2023)
- Main Title:
- Machine learning for managers
- Further Information:
- Note: Paul Geertsema.
- Authors:
- Geertsema, Paul
- Contents:
- Part 1: Understanding Machine Learning 1. Let's jump right in 2. Different kinds of ML 3. Creating ML models 4. Linear models 5. Neural networks 6. Tree-based approaches, ensembles and boosting 7. Dimensionality reduction and clustering 8. Unstructured data 9. Explainable AI Part 2: Managing Machine Learning Projects 10. The ML system lifecycle 11. The big picture 12. Creating value with ML 13. Making the business case 14. The ML pipeline 15. Development 16. Deployment and monitoring
- Edition:
- 1st
- Publisher Details:
- London : Routledge
- Publication Date:
- 2023
- Extent:
- 1 online resource (160 pages), illustrations (black and white)
- Subjects:
- 658
Industrial management -- Technological innovations
Machine learning
Organizational effectiveness - Languages:
- English
- ISBNs:
- 9781000886047
9781000886009 - Related ISBNs:
- 9781032362434
9781032362427 - Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; resource not viewed. - 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.773289
- Ingest File:
- 19_019.xml