Implementing MLOps in the Enterprise (Early Release)
English | 2022 | ISBN: 9781098136574 | 78 pages | EPUB,MOBI | 6.16 MB
With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production.