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Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments.
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
Item #: 45099508

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples

Item #: 45099508
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Product Details

Learn how to manage the production life cycle of machine learning models using MLOps techniques. Get practical examples and master Python! Shop at Ubuy Greenland
  • Comprehensive guide to machine learning engineering with Python
  • Focuses on managing the production life cycle of machine learning models using MLOps
  • Incorporates practical examples for better understanding
  • Covers essential concepts for building and deploying machine learning models
  • Provides insights into MLOps best practices
  • Ideal for professionals and enthusiasts in the field of machine learning
Publisher Packt Publishing (November 5, 2021)
Language English
Paperback 276 pages
ISBN-10 1801079250
ISBN-13 978-1801079259
Item Weight 1.08 pounds (0.49 kg)
Dimensions 9.25 x 7.5 x 0.58 inches (23.5 x 19.1 x 1.5 cm)
Country of OriginThis item will be import from US
Date First AvailableNovember 14, 2021
What is in the boxMachine Learning Engineering with... For more details, please check description/product details

Product Description

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples

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Customer Questions & Answers

  • Question: Who is the target audience for this book?

    Answer: This book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. Intermediate-level knowledge of Python is necessary.
  • Question: What will I learn from this book?

    Answer: You will learn how to build scalable and robust solutions that can serve your machine learning models in production environments, including hyperparameter optimization, model management, building ML libraries and packages, exploring ML engineering patterns, toolsets for training and deployment, and using cloud-based tools.
  • Question: Does the book include practical examples?

    Answer: Yes, the book includes practical illustrations and examples to help you solve typical business problems.

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