Anthill Inside Miniconf – Pune
Machine Learning, Deep Learning and Artificial Intelligence: concepts, applications and tools.
Friday 24 November 2017
Room 1
10:00–10:10
Introduction to HasGeek, Anthill Inside
10:10–10:35
Analytics without paralysis!
Ajay Kelkar
10:35–11:15
(Not so) Straight (!) fun with Linear Regression
Vishal Gokhale
11:15–11:35
Break
11:35–12:15
Bayesian methods in data analysis, an introduction
Harshad Saykhedkar
12:15–12:50
Machine Learning in Molecular Biology
Leelavati Narlikar
12:50–13:30
Applications of ML in Ad Tech and Lifecyle of a ML project
Dinesh Kandhari, Satish Gopalani
13:30–14:30
Lunch
14:30–15:15
How similar are two pieces of text? A moderately broad and deep dive in one of the fundamental topics in NLP.
Shourya Roy
15:15–15:35
Applied Machine Learning for realtime #FairPlay against Fraud [sponsored]
Aditya Prasad Narisetty
15:35–16:10
Inference in Deep Neural Networks
Saurabh Agarwal
16:10–16:30
Break
16:30–17:15
Doing Data Science on Cloud
Swapnil Dubey, Ekansh Verma
17:15–17:50
Build intelligent, real-time applications using Machine Learning
Jayesh Sidhwani
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Anthill Inside is a forum for conversations about risk mitigation and governance in Artificial Intelligence and Deep Learning. AI developers, researchers, startup founders, ethicists, and AI enthusiasts are encouraged to:
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