Machine Learning Automation with TPOT

Machine Learning Automation with TPOT

eBook Details:

  • Paperback: 270 pages
  • Publisher: WOW! eBook (May 7, 2021)
  • Language: English
  • ISBN-10: 180056788X
  • ISBN-13: 978-1800567887

eBook Description:

Machine Learning Automation with TPOT: Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate

The automation of machine learning tasks allows developers more time to focus on the usability and reactivity of the software powered by machine learning models. TPOT is a Python automated machine learning tool used for optimizing machine learning pipelines using genetic programming. Automating machine learning with TPOT enables individuals and companies to develop production-ready machine learning models cheaper and faster than with traditional methods.

With this practical guide to AutoML, developers working with Python on machine learning tasks will be able to put their knowledge to work and become productive quickly. You’ll adopt a hands-on approach to learning the implementation of AutoML and associated methodologies. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this Machine Learning Automation with TPOT book will show you how to build automated classification and regression models and compare their performance to custom-built models. As you advance, you’ll also develop state-of-the-art models using only a couple of lines of code and see how those models outperform all of your previous models on the same datasets.

  • Get to grips with building automated machine learning models
  • Build classification and regression models with impressive accuracy in a short time
  • Develop neural network classifiers with AutoML techniques
  • Compare AutoML models with traditional, manually developed models on the same datasets
  • Create robust, production-ready models
  • Evaluate automated classification models based on metrics such as accuracy, recall, precision, and f1-score
  • Get hands-on with deployment using Flask-RESTful on localhost

By the end of this Machine Learning Automation with TPOT book, you’ll have gained the confidence to implement AutoML techniques in your organization on a production level.

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