Anthill Inside Miniconf – Pune
Machine Learning, Deep Learning and Artificial Intelligence: concepts, applications and tools.
Nov 2017
20 Mon
21 Tue
22 Wed
23 Thu
24 Fri 10:00 AM – 05:50 PM IST
25 Sat
26 Sun
##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:
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
##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:
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:
##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.
Hosted by
Aditya Prasad Narisetty
@adityaprasadn
Submitted Nov 20, 2017
For any firm processing online transactions, ensuring a strong shield against fraud is of top priority. And for platforms hosting fantasy sports and online gaming, ensuring a fair play from all users and real-time fraud detection is a first line of defence. Traditionally, rule based engines formed the crux of anomaly and fraud detection. But maintaining a rule engine and adapting to new patterns of abuse are tedious tasks. We’ll see how Machine learning can help us ensure fair play on the platform using user and system finger printing.
Beginner to Intermediate level of M/L basics
Aditya Prasad Narisetty is a Sr. Data Scientist @Dream11 building data driven products from fraud prevention, User & Revenue estimation, marketing attribution, data pipelines and real-time M/L intelligence. Earlier, he was heading the Data Science team at Craftsvilla building recommendation systems, Data Platform, Search, Autosuggestion, real-time inventory profiling, and Fashion Recognition using CNNs.
He’s an avid speaker in the Mumbai machine learning community presenting at GDG Mumbai’17, AWS conf’16, DataNativesX, HYSEA IIT-H, Mumbai AI meetup and a couple of other meetups in Mumbai.
https://www.linkedin.com/in/aditya-prasad-narisetty-3a080a52/
https://docs.google.com/presentation/d/1bBiZvmFNIW1cZQDxAwP0V0DMxFOOtlSKCy75rqEQFaA
Hosted by
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