Machine Learning Engineering with Python

Machine Learning Engineering with Python

eBook Details:

  • Paperback: 276 pages
  • Publisher: WOW! eBook (November 5, 2021)
  • Language: English
  • ISBN-10: 1801079250
  • ISBN-13: 978-1801079259

eBook Description:

Machine Learning Engineering with Python: Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments

Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services.

Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You’ll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you’ll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you’ll work through examples to help you solve typical business problems.

  • Find out what an effective ML engineering process looks like
  • Uncover options for automating training and deployment and learn how to use them
  • Discover how to build your own wrapper libraries for encapsulating your data science and machine learning logic and solutions
  • Understand what aspects of software engineering you can bring to machine learning
  • Gain insights into adapting software engineering for machine learning using appropriate cloud technologies
  • Perform hyperparameter tuning in a relatively automated way

By the end of this Machine Learning Engineering with Python book, you’ll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.

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