 Название: Machine Learning Engineering
Автор: Andriy Burkov
Издательство: True Positive Inc.
Год: 2020
Страниц: 274
Язык: английский
Формат: pdf (true)
Размер: 38.7 MB
Learning Book, this new book by Andriy Burkov is the most complete applied AI book out there. It is filled with best practices and design patterns of building reliable machine learning solutions that scale. Andriy Burkov has a Ph.D. in AI and is the leader of a machine learning team at Gartner. This book is based on Andriy's own 15 years of experience in solving problems with AI as well as on the published experience of the industry leaders.
Who This Book is For:
I assume that the reader of this book understands machine learning basics and is capable of building a model, given a properly formatted dataset using a favorite programming language or a machine learning library. If you don’t feel comfortable applying machine learning algorithms to data and don’t clearly see the difference between logistic regression, support vector machine, and random forest, I recommend starting your journey with The Hundred-Page Machine Learning Book, and then move to this book.
The target audience of this book is data analysts who lean towards a machine learning engineering role, machine learning engineers who want to bring more structure to their work, machine learning engineering students, as well as software architects who happen to deal with models provided by data analysts and machine learning engineers.
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