Applied Data Science and Machine Learning (ADSML)
PG Level Advanced Certification Programme in Applied Data Science and Machine Learning
Data Science
WSAI Post-doctoral Fellowships
We are looking for outstanding candidates with a PhD degree in research topics related to Data Science, Artificial Intelligence, or allied application domains.
WSAI Post-Baccalaureate Fellowships
WSAI invites applications for Post-Baccalaureate Fellowships for candidates interested in advanced training and research in Data Science and Artificial Intelligence.
Q2 2024
Q1 2024
Q4 2023
Q3 2023
Q2 2023
Developing India-specific pregnancy dating model from Garbhini cohort
The duration of gestation of pregnancy is the period between the date of conception and date of delivery, which is about 40 weeks of gestation. Estimating gestational age is crucial for accurate prediction of the date …
Paradigms, Interpretable Models and Algorithms for AI-based Human in the Loop Learning
Artificial intelligence/Data science systems with humans-in-the-loop (HIL) are increasing by the day with applications covering a broad spectrum of domains ranging from education to e-commerce. AI for HIL systems …
Comprehensive Errors-invariables-based model identification (Part 2)
Learning or developing dynamic models from experimental data is crucial in monitoring and control of processes. In general, measurements of both inputs and outputs of a process are subject to noise. Model development …
Comprehensive Errors-invariables-based Model Identification (Part 1)
Learning or developing dynamic models from experimental data is crucial in monitoring and control of processes. In general, measurements of both inputs and outputs of a processare subject to noise. Model development from …
Domain agnostic methods for integration of prior knowledge in learning algorithms
There has been a tremendous shift in recent years in data analysis applications, where reasoning about systems is moving from the use of domain knowledge and data to the use of purely data-based analysis. This shift has …
Learning With Limited and Partial Data
When data science solutions are deployed in practice, seldom do the conditions on the ground match the theoretical assumptions of the algorithms. In this project, we look at algorithms and approaches that can operate …