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1
Intro
2
What is Machine Learning
3
Machine Learning Diagram
4
Machine Learning vs Conventional Programming
5
Pattern Detection
6
Pattern Languages
7
Patterns
8
Core of ML
9
ML in any language
10
All of us
11
Firstclass citizen
12
Java developer
13
Java for ML
14
The Big Companies
15
Dont Boil the Ocean
16
Amazon
17
What is JSR381
18
Common Issues
19
Goals
20
Machine Learning
21
Architecture
22
Demo
23
Training
Description:
Explore Java-friendly machine learning with JSR381 in this comprehensive conference talk. Learn about the importance of machine learning for Java developers and the challenges they face with existing libraries. Discover JSR381, an open-source API for visual recognition that offers a Java-friendly approach to machine learning. Delve into the goals, architecture, and practical applications of JSR381 across various industries. Watch a live demonstration of the API in action using IntelliJ IDEA. Gain insights from Java Champions Frank Greco and Zoran Sevarac as they discuss the future of machine learning in Java and showcase the potential of JSR381 for building innovative applications.

Java-Friendly Machine Learning with JSR381 - Visual Recognition API

JetBrains
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