Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Ramesh Sridharan

Ramesh Sridharan
Machine Learning Engineering Manager, Captricity

Website | @tweetsbyramesh

Ramesh Sridharan is a machine learning engineering manager at Captricity. Ramesh is passionate about using technology for social good, and his research has helped enable a cross-collaboration between researchers and doctors to understand large, complex medical image collections, particularly in predicting the effects of diseases such as Alzheimer’s on brain anatomy. He holds a PhD in electrical engineering and computer science from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL), where his thesis focused on developing machine learning and computer vision technologies to enhance medical image analysis.

Sessions

11:15–11:55 Thursday, 24 May 2018
How Captricity manages 10,000 tiny deep learning models in production
Data science and machine learning
 Location: Capital Suite 13 Level: Beginner
Secondary topics:  Managing and Deploying Machine Learning
Ramesh Sridharan (Captricity)
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Most uses of deep learning involve models trained with large datasets. Ramesh Sridharan explains how Captricity uses deep learning with tiny datasets at scale, training thousands of models using tens to hundreds of examples each. These models are dynamically trained using an automatic deployment framework, and carefully chosen metrics further exploit error properties of the resulting models. Read more.