Deploy Machine Learning Models to Production

English | 2020 | ISBN: 1484265451 | 163 Pages | PDF, EPUB | 11 MB

Build and deploy machine learning and deep learning models in production with end-to-end examples.

This book begins with a focus on the machine learning model deployment process and its related challenges. Next, it covers the process of building and deploying machine learning models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes.

The book is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into production. It also offers guidance to those who want to move beyond Jupyter notebooks to training models at scale on cloud environments. All the code presented in the book is available in the form of Python scripts for you to try the examples and extend them in interesting ways.

What You Will Learn

- Build, train, and deploy machine learning models at scale using Kubernetes

- Containerize any kind of machine learning model and run it on any platform using Docker

- Deploy machine learning and deep learning models using Flask and Streamlit frameworks

ZIPPY + MEGA

https://www116.zippyshare.com/v/KTM5CLie/file.html

https://mega.nz/file/lXImlTCJ#S1-UJJ2fZIPRpm53G9fhHuvVNYViS5EcNvBGFS4FWH0

[注意]传递专业知识、拓宽行业人脉——看雪讲师团队等你加入！