Proposals

Anthill Inside Miniconf – Pune

Machine Learning, Deep Learning and Artificial Intelligence: concepts, applications and tools.


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Proposal guidelines

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All proposals

Confirmed sessions

Applied Machine Learning for realtime #FairPlay against Fraud

Aditya Prasad Narisetty (@adityaprasadn)

  • 0 comments
  • Mon, 20 Nov

Build intelligent, real-time applications using Machine Learning

Jayesh Sidhwani (@jayeshsidhwani)

  • 0 comments
  • Tue, 14 Nov

Doing Data Science on Cloud

Swapnil Dubey (@swapnildubey)

  • 0 comments
  • Tue, 14 Nov

How similar are two pieces of text? A moderately broad and deep dive in one of the fundamental topics in NLP.

Shourya Roy (@shourya)

  • 0 comments
  • Sun, 12 Nov

Applying ML in AdTech and Lifecycle of an ML project

Satish Gopalani (@satishg)

  • 0 comments
  • Fri, 10 Nov

Analytics without paralysis!

Ajay Kelkar

  • 0 comments
  • Fri, 10 Nov

Machine Learning in Molecular Biology

Leelavati Narlikar (@leelavati)

  • 0 comments
  • Thu, 09 Nov

Leapfrog in Deep Learning

Sameer Mahajan (@sameermahajan)

  • 0 comments
  • Fri, 03 Nov

Inference in Deep Neural Networks

saurabh agarwal (@saurabh-agl)

  • 0 comments
  • Wed, 01 Nov

(Not so) Straight (!) fun with Linear Regression

Vishal (@vishalgokhale)

  • 0 comments
  • Sat, 28 Oct

Fundamental Math Concepts for Data Science / ML / AI

Vishal (@vishalgokhale)

  • 0 comments
  • Sat, 28 Oct

Bayesian methods in data analysis, an introduction

Harshad Saykhedkar (@harshss)

  • 0 comments
  • Thu, 12 Oct

Getting started with machine learning: tools, algorithms and concepts

Harshad Saykhedkar (@harshss)

  • 0 comments
  • Thu, 12 Oct

Unconfirmed proposals

Image Classification using Support Vector Machines.

Swapnil Dubey (@swapnildubey)

  • 0 comments
  • Tue, 14 Nov

How similar are two pieces of text? A moderately broad and deep dive in one of the fundamental topics in NLP.

Shourya Roy (@shourya)

  • 0 comments
  • Sun, 12 Nov

How similar are two pieces of text? A moderately broad and deep dive in one of the fundamental topics in NLP.

Shourya Roy (@shourya)

  • 0 comments
  • Sun, 12 Nov

Deep Reinforcement Learning: A hands-on approach

Shubham Dokania (@shubhamdokania)

  • 0 comments
  • Wed, 08 Nov