Intel

Introduction to BigDL - Bringing Deep Learning to the Big Data Platform Webinar

Register Today!

AI plays a central role in today’s smart and connected world and is continuously driving the need for scalable, distributed big data analytics with deep learning capabilities. There is also an increasing demand from organizations to conduct deep learning in the same cluster along with existing data processing pipelines to support feature engineering and traditional machine learning. Addressing the need for such a unified platform for big data analytics and deep learning, Intel recently released BigDL, an open source distributed deep learning library for Apache Spark*. In this webinar, we will discuss our motivation for BigDL, architecture and features of BigDL and how to get started with building models using BigDL.

Required Fields(*)

By submitting this form, you are confirming you are age 18 years or older and you agree to share your personal data with Intel for this business request.

By submitting this form, you are confirming you are age 18 years or older. Intel may contact me for marketing-related communications. To learn about Intel's practices, including how to manage your preferences and settings, you can visit Intel's Privacy and Cookies notices.

Speaker

Radhika Rangarajan

Senior Engineering Program Manager

Radhika Rangarajan is a Senior Engineering Program Manager for Apache Spark and Machine Learning within Intel’s Software and Services Group. With 16 years of software experience, Radhika manages several open source projects in Big Data and Analytics. Radhika has a Bachelors and Masters in Computer Science and Engineering.