Natural Language Processing is a way for computers to analyze, understand, and derive meaning from human language in an intelligent and useful way. Over the last few years, Apurba has built an NLP Platform leveraging it’s own research and the power of open source. This mature platform has been successfully used to solve a range of problems in different industries, especially in the financial and healthcare sectors.
Defining Big Data is like defining what life is - it depends on who you ask. The simplest and closest definition is attributed to Gartner: Big data is high-volume, high-velocity, and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation. Apurba built a novel big-data framework for different applications capable of handling Big-Data with the variety, veracity, and volume associated with these types of data.
Machine learning is the process by which a computer can learn to do something. That something might be as simple as reading the alphabet, or as complex as driving a car on its own and beyond. Machine learning concentrates on the theoretical foundations used by the computational aspects of these algorithms, using methods including neural networks, fuzzy systems, and evolutionary algorithms. Apurba has used various machine learning algorithms in solving real problems.