Jul 2018
23 Mon
24 Tue
25 Wed
26 Thu 07:45 AM – 06:15 PM IST
27 Fri 07:45 AM – 05:35 PM IST
28 Sat
29 Sun
Jul 2018
23 Mon
24 Tue
25 Wed
26 Thu 07:45 AM – 06:15 PM IST
27 Fri 07:45 AM – 05:35 PM IST
28 Sat
29 Sun
##About the conference and topics for submitting talks:
The Fifth Elephant is rated as India’s best data conference. It is a conference for practitioners, by practitioners. In 2018, The Fifth Elephant will complete its seventh edition.
The Fifth Elephant is an evolving community of stakeholders invested in data in India. Our goal is to strengthen and grow this community by presenting talks, panels and Off The Record (OTR) sessions that present real insights about:
**
##Target audience:
You should attend and speak at The Fifth Elephant if your work involves:
##Perks for submitting proposals:
Submitting a proposal, especially with our process, is hard work. We appreciate your effort.
We offer one conference ticket at discounted price to each proposer, and a t-shirt.
We only accept one speaker per talk. This is non-negotiable. Workshops may have more than one instructor.
In case of proposals where more than one person has been mentioned as collaborator, we offer the discounted ticket and t-shirt only to the person with who the editorial team corresponded directly during the evaluation process.
##Format:
The Fifth Elephant is a two-day conference with two tracks on each day. Track details will be announced with a draft schedule in February 2018.
We are accepting sessions with the following formats:
##Selection criteria:
The first filter for a proposal is whether the technology or solution you are referring to is open source or not. The following criteria apply for closed source talks:
The criteria for selecting proposals, in the order of importance, are:
No one submits the perfect proposal in the first instance. We therefore encourage you to:
Our editorial team helps potential speakers in honing their speaking skills, fine tuning and rehearsing content at least twice - before the main conference - and sharpening the focus of talks.
##How to submit a proposal (and increase your chances of getting selected):
The following guidelines will help you in submitting a proposal:
To summarize, we do not accept talks that gloss over details or try to deliver high-level knowledge without covering depth. Talks have to be backed with real insights and experiences for the content to be useful to participants.
##Passes and honorarium for speakers:
We pay an honorarium of Rs. 3,000 to each speaker and workshop instructor at the end of their talk/workshop. Confirmed speakers and instructors also get a pass to the conference and networking dinner. We do not provide free passes for speakers’ colleagues and spouses.
##Travel grants for outstation speakers:
Travel grants are available for international and 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, request it when you submit your proposal in the field where you add your location. The Fifth Elephant is funded through ticket purchases and sponsorships; travel grant budgets vary.
##Last date for submitting proposals is: 31 March 2018.
You must submit the following details along with your proposal, or within 10 days of submission:
##Contact details:
For more information about the conference, sponsorships, or any other information contact support@hasgeek.com or call 7676332020.
Hosted by
Anant Gupta
@anantguptadbl
Submitted Mar 27, 2018
Deep Learning is a good concept and it is slowly transforming the face of data analysis. The world of finance has not been impervious to its reach. Although finance has its own models which have in place for decades ( Black Sholes, CAPM ) new methodologies are coming up to leverage the power of AI
For the past few decades Portfolio building has been guided by analytical methodologies. There have been several methodologies like CAPM, Apt, Factor Data etc. However, very recently there have been some papers which leverage Deep Learning for portfolio building. Through this Full Talk I will be presenting a deep learning application in the field of portfolio composition
There are many hidden factors that relate the universe of financial products which cannot be unearthed using APT. However, using Deep Neural Networks, we can hunt for the latent linkages between the financial products and use that for building your portfolio
The process can be divided into the following 3 tasks
Auto Encoding
This step will be used for creating a condensed map of the entire universe of financial products
Calibrating
This allows us to choose a particular target ( benchmark or a manual set of returns ) that we have in mind that we would like to create a portfolio for
Validation and Verification
This allows us to choose the appropriate condensed map of the universe of produces which will give the best calibration
There is a paper that talks about the potential applications of Deep
As part of the talk, I will be choosing the following examples
During the course of the talk, I will be using the following technologies and data
An interest in Finance and Statistics. If you are always looking out for new ways of investment then this will definitely be worthwhile
I will be doing the coding in Python
Anant is part of Morgan Stanley for the past 7 years. He did his B.Tech ( Electrical ) from BITS Pilani
https://drive.google.com/open?id=1zvlEF1Tofox7UQAHN4tG2s55I84T5Hh_
Jul 2018
23 Mon
24 Tue
25 Wed
26 Thu 07:45 AM – 06:15 PM IST
27 Fri 07:45 AM – 05:35 PM IST
28 Sat
29 Sun
Hosted by
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