Speakers

Anirban Dasgupta

Tackling of finding nearest neighbours of multi-dimensional objects and an analysis of a package developed by Erik Bernhardsson that provides an excellent case-study of empirical algorithmics done well

Atishay Jain

How machine learning has found its uses in domains ranging from finance, to computer vision, to biology and to astrophysics. and a little in depth analysis as to how it has found itself in Astrphysics.

Manas Bedmutha

Generative adversarial networks (GANs) in generative models and their applications in image generation, image processing, data generation for visual recognition

Rohit Sharma

How blockchain the persepctive in which the world approaches Big Data with enhanced security and data quality and more importantly what exactly is blockchain

Rohan Patil

Using Python libraries such as BeautifulSoap and Requests to extract data off the web and how it is an important aspect for Data Scientists