So you've built/found the perfect ML Model, and now you want to deploy it into production while seamlessly integrating with your Enterprise Java Application, how do you go about it?
This talk will tell you all the steps and best practices around Machine Learning Software Engineering (MLEng) in the Cloud using Java technologies. In particular, we will cover :
- Machine Learning Eng Primer (Code & Concepts) using popular Java-based ML Frameworks - DL4J (Eclipse Foundations Project) & DJL (Apache 2.0) Libraries
- Use Case Deep Dive: Learn how to take a pre-trained ML Computer Vision Model and deploy it using micro-services architecture (Cloud Native + Serverless Java App) and maintain it for production.
The talk will be hands-on with a mix of presentation and live coding. All the code will be available on GitHub after the presentation.
Objective of the presentation:
Machine Learning in Production for Java Developers
Attendee pre-requisites - If none, enter "N/A":
Java SE Knowledge Fundamental knowledge of Machine Learning will be helpful
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Submitted by Angelika Wittek on Fri, 2022-06-17 06:15
Could you please describe about what you want to talk?
The Programm Committee
Re: Your proposal
Submitted by Suyash Joshi on Mon, 2022-06-20 19:39
Apologies for missing that part, just filled it in and really excited about this topic as I want to make Java developers hero in ML Eng world :)