Machine Learning in Production English 2023
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ISBN:
9789355518101
Publisher:
BPB Publications
Pages:
458
Weight:
1085 g
Dimensions:
19 x 24 x 3 cm
Book Cover:
Paperback
Thema:
- Machine learning
- Artificial intelligence (AI)
It starts off with fundamental concepts, an introduction to the ML lifecycle and MLOps, followed by comprehensive step-by-step instructions on how to develop a package for ML code from scratch that can be installed using pip. It then covers MLflow for ML life cycle management, CI/CD pipelines, and shows how to deploy ML applications on Azure, GCP, and AWS. Furthermore, it provides guidance on how to convert Python applications into Android and Windows apps, as well as how to develop ML web apps. Finally, it covers monitoring, the critical topic of machine learning attacks, and A/B testing.
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