We design, implement, analyse, and learn the models leveraging the power of scalable distributed computing.

“All models are wrong, but some are useful” – George E. P. Box.

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Federated Learning

Federated Learning is a machine learning approach that allows multiple parties to collaboratively...

Distributed Machine Learning

Distributed machine learning (DML) utilizes multiple computers to train a single machine learning...

Learned Data Structures

Learned data structures use machine learning techniques to improve the performance of queries. Tr...