Machine Learning in Production
eBook Details:
- Paperback: 458 pages
- Publisher: WOW! eBook (April 29, 2023)
- Language: English
- ISBN-10: 9355518102
- ISBN-13: 978-9355518101
eBook Description:
Machine Learning in Production: Deploy, manage, and scale Machine Learning models with MLOps effortlessly
Machine Learning in Production is an attempt to decipher the path to a remarkable career in the field of MLOps. It is a comprehensive guide to managing the machine learning lifecycle from development to deployment, outlining ways in which you can deploy ML models in production.
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.
- Master the Machine Learning lifecycle with MLOps
- Learn best practices for managing ML models at scale
- Streamline your ML workflow with MLFlow
- Implement monitoring solutions using whylogs, WhyLabs, Grafana, and Prometheus
- Use Docker and Kubernetes for ML deployment
With this Machine Learning in Production book, you can easily build and deploy machine learning solutions in production.
