Название: Machine Learning System Design: With end-to-end examples (MEAP v4)Автор: Arseny Kravchenko, Valerii Babushkin
Издательство: Manning Publications
Год: 2023
Страниц: 207
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable Machine Learning systems. Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You’ll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system. Machine Learning system design is complex. The successful ML engineer needs to navigate a multistep process that demands skills from many different fields and roles. This one-of-kind-guide starts by showing you the big picture and then guides you step by step through a framework for creating successful systems. You’ll learn to excel at delivering for global objectives, diving locally into tools, and combining your knowledge into an integrated vision. For readers who know the basics of both software engineering and machine learning. Examples in Python.
