Machine Learning Automation with TPOT - Build, validate, and deploy

This summary is talking about the Book "Machine Learning Automation with TPOT - Build, validate, and deploy".

This book is a guide to automated machine learning using the TPOT library in Python. It covers a broad range of topics, including an introduction to machine learning concepts like supervised learning, regression, and classification, as well as a deep dive into the TPOT library itself, explaining its architecture and capabilities. The book provides numerous hands-on examples, demonstrating how to build automated models for regression and classification tasks using TPOT. The final chapters discuss parallel training with Dask, a foundational overview of deep learning and neural networks, and practical guidance on deploying your TPOT models to both localhost and the cloud.


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