Deploy Machine Leaing Models to Production:With Flask, Streamlit, Docker, and Kubeetes on Google Cloud Platform

by:Pramod Singh (Author)

Publisher:

Edition:1st ed.

Publication Date: 2020/12/15

Language:English

Print Length:164 pages

ISBN-10:1484265459

ISBN-13:9781484265451

Book Description

Build and deploy machine leaing and deep leaing models in production with end-to-end examples.This book begins with a focus on the machine leaing model deployment process and its related challenges. Next, it covers the process of building and deploying machine leaing models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine leaing models. The book also illustrates how to build and train machine leaing and deep leaing models at scale using Kubeetes.The book is a good starting point for people who want to move to the next level of machine leaing 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 LeaBuild, train, and deploy machine leaing models at scale using KubeetesContainerize any kind of machine leaing model and run it on any platform using DockerDeploy machine leaing and deep leaing models using Flask and Streamlit frameworksWho This Book Is ForData engineers, data scientists, analysts, and machine leaing and deep leaing engineers

About the Author

Build and deploy machine leaing and deep leaing models in production with end-to-end examples.This book begins with a focus on the machine leaing model deployment process and its related challenges. Next, it covers the process of building and deploying machine leaing models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine leaing models. The book also illustrates how to build and train machine leaing and deep leaing models at scale using Kubeetes.The book is a good starting point for people who want to move to the next level of machine leaing 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 LeaBuild, train, and deploy machine leaing models at scale using KubeetesContainerize any kind of machine leaing model and run it on any platform using DockerDeploy machine leaing and deep leaing models using Flask and Streamlit frameworksWho This Book Is ForData engineers, data scientists, analysts, and machine leaing and deep leaing engineers

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