EAN: 9781484265451

DEPLOY MACHINE LEARNING MODELS TO PRODUCTION - ...

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 Who This Book Is For Data engineers  data scientists 
analysts  and machine learning and deep learning engineers

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