Training Data for Machine Learning: Human Supervision from Annotation to Data Science
- Length: 329 pages
- Publication Date: 2023-12-19
Introducing MLOps: How to Scale Machine Learning in the Enterprise
by Adrien Lavoillotte, Clément Stenac, Du Phan, Joachim Zentici, Kenji Lefevre, Lynn Heidmann, Makoto Miyazaki, Mark Treveil, Nicolas Omont
- Length: 186 pages
- Publication Date: 2020-12-29
Python Machine Learning: The Complete Guide to Understand Python Machine Learning for Beginners and Artificial Intelligence
- Length: 129 pages
- Publication Date: 2020-11-30
Practical Fairness: Achieving Fair and Secure Data Models
- Length: 326 pages
- Publication Date: 2020-12-29
Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner
- Length: 248 pages
- Publication Date: 2021-01-05
Deep Machine Learning: 3 in 1- A Comprehensive Beginner Developer Guide + Complete Tips and Tricks + Advanced Deep Machine Learning Techniques and Methods to learning Artificial Intelligence
by Joe Grant
- Length: 198 pages
- Publication Date: 2020-11-11
Frontiers in Hardware Security and Trust: Theory, design and practice
- Length: 448 pages
- Publication Date: 2020-12-07
Flexible and Cognitive Radio Access Technologies for 5G and Beyond
- Length: 680 pages
- Publication Date: 2020-10-22
Intelligent Algorithms for Analysis and Control of Dynamical Systems
- Length: 197 pages
- Publication Date: 2021-01-05
Deep Learning for Natural Language Processing
- Length: 325 pages
- Publication Date: 2020-05-12
Practical AI on the Google Cloud Platform: Utilizing Google’s State-of-the-Art AI Cloud Services
- Length: 394 pages
- Publication Date: 2020-11-10
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
- Length: 408 pages
- Publication Date: 2020-11-03