| 期刊全稱 | Building Intelligent Systems | | 期刊簡稱 | A Guide to Machine L | | 影響因子2023 | Geoff Hulten | | 視頻video | http://file.papertrans.cn/192/191679/191679.mp4 | | 發(fā)行地址 | Shows you how to plan for the various phases of an intelligent system from implementation to operation—what is required to succeed, and when it is time to progress.Teaches you how to craft experiences | | 圖書封面 |  | | 影響因子 | Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success..This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems..Building Intelligent Systems. is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world....What You’ll Learn..Understand the concept of an Intelligent System:. What it is good for, when you need one, and how to set it up for success.Design an intelligent user experience:. Produce data to help make the Intelligent System better over time.Implement an Intelligent System:. Execute, manage, and measure Intelligent Systems in practice.Create intelligence:. Use different approaches, including machine learning.Orchestrate an Intelligent System:. Bring the parts together throughout its life cycl | | Pindex | Book 2018 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-8 16:44
發(fā)表于 2025-3-21 17:41:45
