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Deploy Machine Learning Models to Production
- With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform
Engelsk
Bogcover for Deploy Machine Learning Models to Production af Pramod Singh, 9781484265451
Specifikationer
Sprog:
Engelsk
Sider:
150
ISBN-13:
9781484265451
Indbinding:
Paperback
ISBN-10:
1484265459
Kategori:
Udg. Dato:
15 dec 2020
Størrelse i cm:
23,5 x 15,5
Forlag:
Oplagsdato:
15 dec 2020
Forfatter(e):

Deploy Machine Learning Models to Production

- With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform
Engelsk
Paperback 2020
Format:

Bog beskrivelse
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 LearnBuild, train, and deploy machine learning models at scale using KubernetesContainerize any kind of machine learning model and run it on any platform using DockerDeploy machine learning and deep learning models using Flask and Streamlit frameworksWho This Book Is ForData engineers, data scientists, analysts, and machine learning and deep learning engineers
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349,46 kr
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287 kr
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Specifikationer
Sprog:
Engelsk
Sider:
150
ISBN-13:
9781484265451
Indbinding:
Paperback
ISBN-10:
1484265459
Kategori:
Udg. Dato:
15 dec 2020
Størrelse i cm:
23,5 x 15,5
Forlag:
Oplagsdato:
15 dec 2020
Forfatter(e):
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