Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, Bìa mềm
Thể loại:Computers - Computer Science
Năm:2021
In lần thứ:1st ed.
Ngôn ngữ:english
Trang:161
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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