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
Paul Meinshausen
@pmeins
Submitted Jul 12, 2018
When evaluating the quality and likelihood of success of AI/ML projects, I have found it helpful to think in terms of three core components: Workflow, Data, and Algorithms. In media and public discussion algorithms tend to receive the most attention, and for young data scientists they are often what seem most exciting. This talk will focus on the two underrated other components: workflow and data. In the majority of cases I’ve seen, as both a data scientist and an investor, they are what determine whether a project will really make a difference and produce practical success. Good, high-quality data comes from the work of design, and the work of design is fascinating, challenging, rewarding, and deserves every data scientist and engineer’s attention and practice. I will present a few key steps of designing for data, and lots of practical and real examples and illustrations from my work and study as a data scientist.
Past experience with real-world data science projects will be helpful. The talk will aim to provide something for beginners as well as advanced professionals.
Paul Meinshausen is a Data Scientist in Residence at Montane Ventures, an early-stage venture capital fund. Previously he was CoFounder and Chief Data Scientist at PaySense, a mobile fintech startup in Mumbai. Earlier roles include Vice President of Data Science at Housing.com, and Principal Data Scientist at Teradata. He has a research background in behavioral and cognitive science, first started working on big and unstructured data for the U.S. Department of Defense in Afghanistan, and was a Data Science for Social Good Fellow at the University of Chicago’s Computation Institute.
https://drive.google.com/open?id=1g3RQxBciwhWmdNmVfTAyMeuf_ftzwf2g
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
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}