24 November, Pune
Status: Accepting votes

About the event

When it comes to Machine Learning (ML), Deep Learning (DL) and Artificial Intelligence (AI), three aspects are crucial:

Anthill Inside Miniconf will provide understanding on each of these fronts.

Format

This miniconf is a full day event consisting of:

  1. 3-4 talks each, on concepts, applications and tools.
  2. Birds of Feather (BOF) sessions on focussed topics.

We are accepting proposals for:

Hands-on workshops

Hands-on workshops for 30-40 participants on 25 November will help in internalizing concepts, and practical aspects of working with tools.
Workshops will be announced shortly. Workshop tickets have to be purchased separately.

Target audience, and why you should attend this event

  1. ML engineers who want to learn about concepts in maths, stats and strengthen foundations.
  2. ML engineers wanting to learn from experiences and insights of others.
  3. Senior architects and decision-makers who want to quick run-through of concepts, implementation case studies, and overview of tools.
  4. Masters and doctoral candidates who want to bridge the gap between academia and practice.

Selection process

Proposals will be shortlisted and reviewed by an editorial team consisting of practitioners from the community. Make sure your abstract contains the following information:

  1. Key insights you will present, or takeaways for the audience.
  2. Overall flow of the content.

You must submit links to videos of talks you have delivered in the past, or record and upload a two-min self-recorded video explaining what your talk is about, and why is it relevant for this event.

Also consider submitting links to the following along with your proposal:

  1. A detailed outline, or
  2. Mindmap, explaining the structure of the talk, or
  3. Draft slides.

Honorarium for selected speakers; travel grants

Selected speakers and workshop instructors will receive an honorarium of Rs. 3,000 each, at the end of their talk. We do not provide free passes for speakers’ colleagues and spouses.

Travel grants are available for domestic speakers. We evaluate each case on its merits, giving preference to women, people of non-binary gender, and Africans.
If you require a grant, mention this in the field where you add your location. Anthill Inside Miniconf is funded through ticket purchases and sponsorships; travel grant budgets vary.

Important dates

Anthill Inside Miniconf – 24 November, 2017.
Hands-on workshops – 25 November, 2017.

Contact details:

For more information about speaking, Anthill Inside, sponsorships, tickets, or any other information contact support@hasgeek.com or call 7676332020.

Confirmed sessions

# Speaker Section Level +1 Submitted
1 Applied Machine Learning for realtime #FairPlay against Fraud  
Aditya Prasad Narisetty (@adityaprasadn) Flash talks Intermediate 2 0 Mon, 20 Nov
2 Build intelligent, real-time applications using Machine Learning  
Jayesh Sidhwani (@jayeshsidhwani) Full talk Intermediate 8 0 Tue, 14 Nov
3 Doing Data Science on Cloud  
Swapnil Dubey (@swapnildubey) Full talk Intermediate 1 0 Mon, 13 Nov
4 How similar are two pieces of text? A moderately broad and deep dive in one of the fundamental topics in NLP.
Shourya Roy (@shourya) Full talk Intermediate 2 0 Sun, 12 Nov
5 Applying ML in AdTech and Lifecycle of an ML project  
Satish Gopalani (@satishg) Full talk Beginner 4 0 Fri, 10 Nov
6 Analytics without paralysis!
Ajay Kelkar Crisp Talk Beginner 1 0 Fri, 10 Nov
7 Machine Learning in Molecular Biology  
Leelavati Narlikar (@leelavati) Full talk Beginner 2 0 Thu, 9 Nov
8 Leapfrog in Deep Learning  
Sameer Mahajan (@sameermahajan) Workshop Intermediate 1 0 Fri, 3 Nov
9 Inference in Deep Neural Networks    
saurabh agarwal (@saurabh-agl) Full talk Intermediate 4 0 Wed, 1 Nov
10 (Not so) Straight (!) fun with Linear Regression  
Vishal (@vishalgokhale) Full talk Beginner 1 0 Fri, 27 Oct
11 Fundamental Math Concepts for Data Science / ML / AI
Vishal (@vishalgokhale) Workshop Beginner 1 0 Fri, 27 Oct
12 Bayesian methods in data analysis, an introduction  
Harshad Saykhedkar (@harshss) Full talk Beginner 1 0 Thu, 12 Oct
13 Getting started with machine learning: tools, algorithms and concepts
Harshad Saykhedkar (@harshss) Workshop Beginner 1 0 Thu, 12 Oct

Unconfirmed proposals