Explore Deep Learning Using Your Data using the JVM

Deep Learning is a new area of Machine Learning research developed with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. With an amazingly small amount of code and a some of the publicly available libraries today you too can apply deep learning techniques to your own data. With the right amount of data and a little experimentation Deep Networks can sometimes equal or surpass a human's ability to learn and extrapolate from your organization's data .

This will be a hands-on tutorial/talk will both introduce the basic concepts of deep learning neural networks and give the attendees an opportunity to use it in the JVM. The attendee is expected to walk out of this talk with a general appreciation of deep learning and an opportunity to experiment with it on their own data.

About Husain Al-Mohssen

Husain's main focus is in the area of engineering science and it's application to create profitable products that serve 10's or 100's of thousands of users. Husain's work at MIT focused on extracting faint signals from super-computer scale gas simulations close to equilibrium. He later built on this background to start a user-facing email analytics company that serviced thousands of paying customers in near-real time. Husain has extensive software engineering experience both as a developer, maintainer and architect in the areas of enterprise software, high performance computing, as well as the “Big Data” domain. Husain is also an accomplished mechanical engineer, with many years of hands-on experience in the oil and power industries.

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