A pragmatic programmer for machine learning : engineering analytics and data science solutions /: engineering analytics and data science solutions. (2023)
- Record Type:
- Book
- Title:
- A pragmatic programmer for machine learning : engineering analytics and data science solutions /: engineering analytics and data science solutions. (2023)
- Main Title:
- A pragmatic programmer for machine learning : engineering analytics and data science solutions
- Further Information:
- Note: Marco Scutari, Mauro Malvestio.
- Authors:
- Scutari, Marco
Malvestio, Mauro - Contents:
- Preface 1 What is This Book About? 2 Hardware Architectures 3 Variable Types and Data Structures 4 Analysis of Algorithms 5 Designing and Structuring Pipelines 6 Writing Machine Learning Code 7 Packaging and Deploying Pipelines 8 Documenting Pipelines 9 Troubleshooting and Testing Pipelines 10 Tools for Developing Pipelines 11 Tools to Manage Pipelines in Production 12 Recommending Recommendations: A Recommender System Using Natural Language Understanding Bibliography Index
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2023
- Extent:
- 1 online resource (346 pages), illustrations (black and white)
- Subjects:
- 006.31
Machine learning
Software engineering
Statistics -- Data processing - Languages:
- English
- ISBNs:
- 9781000852523
9781000852462 - Related ISBNs:
- 9780367263508
- 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.763338
- Ingest File:
- 18_057.xml