Yuusuke Shibui: Machine Learning System Design Patterns

It takes design and application to bring machine learning into the system and make it useful. This is a collection of manuals that have recorded the machine-driving as a way to manage the disaster on the actual system, and a collections of design patterns from the machine - the machine machine - which is used to create a new system. The machine-muting system's Grand Design and Machine - and machine-changing system are illustrated in Python and also described in terms of methods, applications, and improvements to actually use machine-sharing. They also use Doker and Coubertides to ensure the re-responsibility of the code. From the learning of machine-muting, a series of evaluations, QA performance and reasoning machines are combined with architecture and code. What this book deals with is how to actually make machine learning work. learns the outline of machine-muting workspears and the development of web applications using Python. "The machine-mode is used to cook the available NOH-Hunting system...and learn how to handle the disorder and the traffic to deal with the machine-murning system.

Korean title: 머신러닝 시스템 디자인 패턴

Korean author: 시부이 유우스케

Korean publisher: 위키북스

ISBN-13: 9791158392888