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
Автор: Patrick Bangert
Издательство: Elsevier
Год: 2021
Страниц: 262
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Master expert techniques for building automated and highly scalable end-to-end Machine Learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes. This book will present an overview of data science and Machine Learning (ML) and point toward the many use cases in the power industry where these have already solved problems. The hype surrounding Machine Learning will hopefully be cleared up as this book focusses on what can realistically be done with existing tools.