New Live Stream: Java-Friendly Machine Learning With the JSR381
Most machine learning (ML) toolkits require knowing Python. Although this is one of the leading programming languages in data science and ML, you can find several convenient alternatives. In the next IntelliJ IDEA Live Stream, we will create an ML model step-by-step using only JSR-381.
Our two guests, Frank Greco and Zoran Sevarac, will show us how to simplify ML in Java. Join us on Wednesday, May 25, at 17:00 CET / 15:00 UTC.
Machine learning (ML) is a hugely important global trend that affects every part of the stack from the user to the hardware. All developers, and especially Java developers, need to understand how to build apps that use ML.
However, there are not many coding options for Java developers. The current ML libraries available for Java developers have several issues – either they are very complex and designed for data scientists, or they are Java wrappers around C/C++ libraries and don’t “feel” like Java tools.
Now there is JSR381, an open-source, Java-friendly API for ML, specifically visual recognition. This API has a wide range of business applications across many types of industries and use cases. In this session, we will discuss the goals of JSR381 (“VisRec”), review the API, and show code running in IntelliJ IDEA.
To get the most out of the live stream, you may need additional materials on the topic. Here are the most valuable: Getting Started with VisRec, JSR 381 Reference Implementation, and Deep Netts Community Edition.
If you have any questions, ask them during our show! All you need to do is join us live and submit your queries via YouTube chat.
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