文件名称：Building Intelligent Systems_A Guide to Machine Learning Engineering(2018).pdf
文件大小：2.12MB
文件格式：ZIP
更新时间：2021-03-28 15:23:31
Machine Learning 机器学习
Building Intelligent Systems is a book about leveraging machine learning in practice. It covers everything you need to produce a fully functioning Intelligent System, one that leverages machine learning and data from user interactions to improve over time and achieve success. After reading this book you’ll be able to design an Intelligent System end-to-end. You’ll know: • When to use an Intelligent System and how to make it achieve your goals. • How to design effective interactions between users and Intelligent Systems. • How to implement an Intelligent System across client, service, and back end. • How to build the intelligence that powers an Intelligent System and grow it over time. • How to orchestrate an Intelligent System over its life-cycle. You’ll also understand how to apply your existing skills, whether in software engineering, data science, machine learning, management or program management to the effort. There are many great books that teach data and machine-learning skills. Those books are similar to books on programming languages; they teach valuable skills in great detail. This book is more like a book on software engineering; it teaches how to take those base skills and produce working systems. This book 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. I hope this book helps accelerate the proliferation of systems that turn data into impact and helps readers develop practical skills in this important area.
【文件预览】：
Building Intelligent Systems_A Guide to Machine Learning Engineering-Apress(2018).pdf