Tata Institute of Fundamental Research
The Frontiers of Machine Learning
STCS Colloquium
Speaker:
Sunita Sarawagi (Indian Institute of Technology Bombay
Computer Science and Engineering
Mumbai)
Organiser:
Prahladh Harsha
Date:
Tuesday, 9 Apr 2019, 14:30 to 15:30
Venue:
A-201 (STCS Seminar Room)
(Scan to add to calendar)
Abstract:
Abstract: Machine Learning (ML) started as a niche field of computer science in the 80s and is now impacting several aspects of modern life. I will start with an overview of the core ML primitives that drive these tasks including classification, regression, structured prediction, and reinforcement learning. The current success of ML is attributed to the twin power of deep learning to process complex inputs like images, audio, and text and the easy availability of resources such as data and computing. In the concluding part, I will attempt to summarize the current fervent pace of research in ML, which might give us a peek into what we might expect in the near-term future.
| Speaker: | Sunita Sarawagi (Indian Institute of Technology Bombay Computer Science and Engineering Mumbai) |
| Organiser: | Prahladh Harsha |
| Date: | Tuesday, 9 Apr 2019, 14:30 to 15:30 |
| Venue: | A-201 (STCS Seminar Room) |
(Scan to add to calendar)
Abstract:
Abstract: Machine Learning (ML) started as a niche field of computer science in the 80s and is now impacting several aspects of modern life. I will start with an overview of the core ML primitives that drive these tasks including classification, regression, structured prediction, and reinforcement learning. The current success of ML is attributed to the twin power of deep learning to process complex inputs like images, audio, and text and the easy availability of resources such as data and computing. In the concluding part, I will attempt to summarize the current fervent pace of research in ML, which might give us a peek into what we might expect in the near-term future.