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Session I

7th September 2018, IIT Gandhinagar

Anirban Dasgupta

Nearest Neighbour Problems

Prof. 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

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Anirban Sir

How Machine Learning is helping different fields

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.

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Manas Bedmutha

Generative Adversarial Networks (GANs) using Keras

Manas Bedmutha


Generative adversarial networks (GANs) have been at the forefront of research on generative models in the last couple of years. GANs have a diverse pool of application involving image generation, image processing, data generation for visual recognition. GANs’ potential is huge because they can learn to mimic any distribution of data.

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Rohit

Blockchain in python

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

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Rohan

Web-Scraping with Python

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.

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