Pramod Singh - Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform

Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/978-1-4842-6545-1 . For more detailed information, please visit www.apress.com/source-code .

This book helps upcoming data scientists who have never deployed any machine learning model. Most data scientists spend a lot of time analyzing data and building models in Jupyter Notebooks but have never gotten an opportunity to take them to the next level where those ML models are exposed as APIs. This book helps those people in particular who want to deploy these ML models in production and use the power of these models in the background of a running application.

The term ML productionization covers lots of components and platforms. The core idea of this book is not to look at each of the options available but rather provide a holistic view on the frameworks for productionizing models, from basic ML-based apps to complex ones. Once you know how to take an ML model and put it in production, you will become more confident to work on complicated applications and big deployments. This book covers different options to expose the ML model as a web service using frameworks such as Flask and Streamlit. It also helps readers to understand the usage of Docker in machine learning apps and the end-to-end process of deployment on Google Cloud Platform using Kubernetes.

I hope there is some useful information for every reader, and potentially they can apply it in their workstreams to go beyond Jupyter Notebooks and productionalize some of their ML models.

I want to take a moment to thank the most important person in my life: my wife, Neha. Without her support, this book wouldnt have seen the light of day. She is the source of my energy, motivation, and happiness and keeps me going despite challenges and hardships. I dedicate this book to her.

I also want to thank a few other people who helped a great deal during these months and provided a lot of support. Let me start with Aditee, who was very patient and kind to understand the situation and help to reorganize the schedule. Thanks to Celestian John as well to offer me another opportunity to write for Apress. Last but not the least, my mentors: Barron Beranjan, Janani Sriram, Sebastian Keupers, Sreenivas Venkatraman, Dr. Vijay Agneeswaran, Shoaib Ahmed, and Abhishek Kumar. Thank you for your continuous guidance and support.