Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Anima Anandkumar

Anima Anandkumar
Faculty member, UC Irvine

Website

Anima Anandkumar is a principal scientist at Amazon Web Services. Anima is currently on leave from UC Irvine, where she is an associate professor. Her research interests are in the areas of large-scale machine learning, nonconvex optimization, and high-dimensional statistics. In particular, she has been spearheading the development and analysis of tensor algorithms. Previously, she was a postdoctoral researcher at MIT and a visiting researcher at Microsoft Research New England. Anima is the recipient of several awards, including the Alfred. P. Sloan fellowship, the Microsoft faculty fellowship, the Google research award, the ARO and AFOSR Young Investigator awards, the NSF CAREER Award, the Early Career Excellence in Research Award at UCI, the Best Thesis Award from the ACM SIGMETRICS society, the IBM Fran Allen PhD fellowship, and several best paper awards. She has been featured in a number of forums, such as the Quora ML session, Huffington Post, Forbes, and O’Reilly Media. Anima holds a BTech in electrical engineering from IIT Madras and a PhD from Cornell University.

Sessions

13:3017:00 Tuesday, 23 May 2017
Data science and advanced analytics
Location: Capital Suite 13
Secondary topics:  Cloud, Deep learning
Level: Advanced
Anima Anandkumar (UC Irvine)
Average rating: ***..
(3.67, 3 ratings)
Deep learning is the state of the art in domains such as computer vision and natural language understanding. Apache MXNet is a highly flexible and developer-friendly deep learning framework. Anima Anandkumar provides hands-on experience on how to use Apache MXNet with preconfigured Deep Learning AMIs and CloudFormation Templates to help speed your development. Read more.
12:0512:45 Wednesday, 24 May 2017
Data science and advanced analytics
Location: Hall S21/23 (A)
Secondary topics:  Cloud
Anima Anandkumar (UC Irvine)
Average rating: ****.
(4.00, 2 ratings)
Anima Anandkumar demonstrates how to use preconfigured Deep Learning AMIs and CloudFormation templates on AWS to help speed up deep learning development and shares use cases in computer vision and natural language processing. Read more.
14:0514:45 Wednesday, 24 May 2017
Location: Capital Hall (N24) - O'Reilly booth - Table A
Anima Anandkumar (UC Irvine)
Anima is available to discuss deep learning at scale on AWS and various AI services on AWS. Read more.