Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Make a submission
Accepting submissions till 01 Nov 2019, 04:20 PM
Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Accepting submissions till 01 Nov 2019, 04:20 PM
##About the 2019 edition:
The schedule for the 2019 edition is published here: https://hasgeek.com/anthillinside/2019/schedule
The conference has three tracks:
#Who should attend Anthill Inside:
Anthill Inside is a platform for:
For inquiries about tickets and sponsorships, call Anthill Inside on 7676332020 or write to sales@hasgeek.com
#Sponsors:
Sponsorship slots for Anthill Inside 2019 are open. Click here to view the sponsorship deck.
#Bronze Sponsor
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Tanmoy Bhowmik
@tanmoyb
Submitted Apr 16, 2019
Executives now-a-days rely on forecasting approcahes in virtually any decision making. The use cases are ubiquitous in business and technology domains ranging from Demand/Sales forecasting in Supply Chain Management, Hiring/Attrition rate forecasting in HR operations, Predicting the cell traffic or netwrok health parameters for a Telecom business, just to name a few. The challenges faced in forecasting in general, are mainly because of inherent non-linearity and non-stationarity in the time series. In this talk, I will try to walk through a systematic approach for parameter estimation in forecasting of time series data with causal factors available in the light of statistical estimation theory.
I did my PhD in Electrical Engineering from University of Texas at Arlington and am currently working as a Data Scientist in Ericsson Global AI team.
https://drive.google.com/file/d/1ktY2EGDIlaDMl7OBHdpJ4Q9dLsZ55DwB/view?usp=sharing
Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Accepting submissions till 01 Nov 2019, 04:20 PM
Hosted by
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