Zoran Sevarac

JSR381 Visual Recognition for Java – Machine Learning for Java developers @ NYJUG

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We all know Machine Learning (ML) is a huge, long-term global trend that affects every part of the stack from the user to the hardware. All developers, especially Java developers, need to understand how to build apps that use ML Visual Recognition (VisRec) is an important subclass of ML. There are wide business applications …

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From Basic Machine Learning to Deep Learning in 5 Minutes

Deep Learning, Machine Learning, Tutorials / By

Deep learning algorithms evolved from well known mathematical procedures, and the idea of this post is to give a brief overview of that evolution. That will give you a big picture and better understanding  how they work in general and what are they used for, without going into heavy math. If you are not …

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Machine Learning Tutorial for Java Developers

Java, Machine Learning, Tutorials / By

What is Machine  Learning? Machine Learning is a computer algorithm that is able to adjust its own internal parameters using sample data, in order to be able to estimate/predict something useful for similar data. The procedure of automatically adjusting internal parameters using sample data is called learning,  training or model building. Once the algorithm has finished …

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Deep Learning Tutorial for Java Developers

Deep Learning, Java, Machine Learning, Tutorials / By

We’ve started a series of tutorials with goal to introduce Java developers to deep learning as quick as possible, and give them enough understanding so they can start working on their own projects immediately. The tutorials are designed in such way, that the ony prerequisite knowledge is Java programming. They will map the machine …

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What is project Panama and Why is it important for Machine Learning on Java Platform

Conferences, Deep Learning, Java, Machine Learning / By

 Panama is the new API  for interconnecting Java with native code, which provides Java the ability for faster and easier communication with native libraries required for machine learning applications. The vision is that non-java libraries should be easily accessible to Java developers Very good and easy to follow overview given at the session …

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Why Java Will Dominate the Future of Machine Learning, AI, and Big Data

Conferences, Java, Machine Learning / By

Great presentation by Bernard Traversat,  Head of the Java platform development, at Oracle Code One 2018, San Francisco. Here are key points: Entire Big Data stack for storing data is written in Java (Hadoop, Spark, Kafka, Elastic Search, …) Java has enormous ecosystem of tools and libraries Enterprises run on Java Bringing new technology into …

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The Most Significant JSR Award goes to Visual Recognition API, Code One, San Francisco

Conferences, Deep Learning, Java, Machine Learning / By

The most significant JSR Award, which is given by the official organization for Java technology standardization, Java Community Process (JCP) was awarded to Visual Recognition API, proposed and led by Zoran Sevarac (Deep Netts CEO), Java Champion Frank Greco (Crossroads Technologies), and Sandhya Kapoor (IBM Watson Architect). The proposal is official supported by IBM, …

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Dukes Choice Award 2018 goes to Apache Net Beans at Code One, San Francisco

Conferences, Java / By

Apache Net Beans project has won the most prestigious award for the innovationon Java platform at Oracle Code One Conference in San Francisco. Zoran Sevarac, Deep Netts CEO, as a long time NetBeans contributor was part of the group who received the award. Also, this is of great importance for Deep Netts Platform, since …

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Machine Learning For Software Developers in 45 minutes, Code One, San Francisco

Conferences, Java, Machine Learning / By

Machine Learning for Software Developers in 45 minutes at Oracle Code One conference in San Francisco, by Deep Netts CEO Zoran Sevarac and another Java champion Frank Greco,  (from Crossroads Technologies) was great success. It was full room of almost 300  Java developers looking for the fast way to get into the magic world …

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