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			<h1>Session I<h1>
			<h3>7th September 2018, IIT Gandhinagar</h3>
			
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					<h3>Nearest Neighbour Problems</h3>
					<h4>Prof. Anirban Dasgupta</h4><br>
					<p>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 </p>
					<p>Find more about this:<br>
					<a href="#">Video</a> &emsp; <a href="#">Slides</a> &emsp; <a href="#">Blog</a></p>
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					<img class="f-img img-fluid mx-auto" src="img/atishay.jpg" alt="Anirban Sir">	
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					<h3>How Machine Learning is helping different fields</h3>
					<h4>Atishay Jain</h4><br>
					<p>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.</p>
					<p>Find more about this:<br>
					<a href="#">Video</a> &emsp; <a href="#">Slides</a> &emsp; <a href="#">Blog</a></p>
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		  	<!-- Manas Bedmutha -->
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					<h3>Generative Adversarial Networks (GANs) using Keras</h3>
					<h4>Manas Bedmutha</h4><br>
					<p>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. </p>
					<p>Find more about this:<br>
					<a href="#">Video</a> &emsp; <a href="#">Slides</a> &emsp; <a href="#">Blog</a></p>
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		  	<!-- Rohit Sharma -->
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					<h3>Blockchain in python</h3>
					<h4>Rohit Sharma</h4><br>
					<p>How blockchain the persepctive in which the world approaches Big Data with enhanced security and data quality and more importantly what exactly is blockchain </p>
					<p>Find more about this:<br> <a href="#">Video</a> &emsp; <a href="#">Slides</a> &emsp; <a href="#">Blog</a></p>
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					<h3>Web-Scraping with Python </h3>
					<h4>Rohan Patil</h4><br>
					<p>Using Python libraries such as BeautifulSoap and Requests to extract data off the web and how it is an important aspect for Data Scientists.</p>
					<p>Find more about this:<br>
					<a href="#">Video</a> &emsp; <a href="#">Slides</a> &emsp; <a href="#">Blog</a></p></p>
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