This course is designed for data scientists, statisticians, software engineers and technical managers interested in learning about state-of-the-art deep learning techniques and concepts, and the range of applications in which they can be used. A surge in deployed applications based on deep learning methods indicates its potential to more fully realize the promise of Artificial Intelligence. You will study basic concepts underlying the representations and methods of deep learning, and discuss applications where deep learning is most effective.
Dr. Pragyansmita Nayak
Pragyansmita Nayak is Senior Data Scientist (Federal Data Intelligence) at Hitachi Vantara Federal, a wholly owned subsidiary of Hitachi Vantara. She has over 20 years of experience in software applications and data science-related research and development.
She is an avid hackathon participant including winning the AngelHack 2016 HPE Haven OnDemand challenge, presenting at the White House "Hack the Pay Gap" challenge of 2016 and the CERN ThePort Social Innovation global hackathon.
She is the founder of the Norther Virginia (NoVA) Deep Learning Meetup with over 1900+ members.