Posts by Anindita Mahapatra

In machine learning, an ensemble is a collection of diverse models that provide more predictive power together than any single model would on its own. The outputs of multiple learning algorithms are combined through a process of averaging or voting, resulting in potentially a better prediction for a given set of inputs. However, there are...

Anti-Money Laundering (AML) compliance has been undoubtedly one of the top agenda items for regulators providing oversight of financial institutions across the globe. As AML evolved and became more sophisticated over the decades, so have the regulatory requirements designed to counter modern money laundering and terrorist financing schemes. The Bank Secrecy Act of 1970 provided...

This post was written in collaboration betweeen Eric Gieseke, principal software engineer at Algorand, and Anindita Mahapatra, solutions architect, Databricks.   Algorand is a public, decentralized blockchain system that uses a proof of stake consensus protocol. It is fast and energy efficient, with a transaction commit time under five seconds and a throughput of one...

Algorand is a public, decentralized blockchain system that uses a proof of stake consensus protocol. It is fast and energy-efficient, with a transaction commit time under 5 seconds and throughput of one thousand transactions per second. The Algorand system is composed of a network of distributed nodes that work collaboratively to process transactions and add...