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Machine Learning Automation with TPOT: Build, validate, and deploy fully automated machine learning models with Python. Code by Dario Radečić is a nonfiction available to read on EtoBox.

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Code Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate Key Features Understand parallelism and how to achieve it in Python. Learn how to use neurons, layers, and activation functions and structure an artificial neural network. Tune TPOT models to ensure optimum performance on previously unseen data. Book Description 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 conce

Who reads Machine Learning Automation with TPOT: Build, validate, and deploy fully automated machine learning models with Python. Code?

Author

Dario Radečić

Publisher

PACKT PUBLISHING LIMITED

Published

2021

Language

EN

ISBN

9781800567887

Category

nonfiction