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:
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##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
Vijay Srinivas Agneeswaran, Ph.D
@vijayagneeswaran
Submitted Apr 25, 2018
The traditional collaborative filtering based approaches have certain lacunae like their inability to handle sparse data, cold-start and lack-of scalability when there are millions of items and/or users. The content based recommendation engines overcome cold start, but have issues in taking user feedback into account. Hybrid recommendation engines try to get the best of both worldds. We outline the embeddings based approach to build deep learning based hybrid recommendation systems in TensorFlow.
We outline how deep learning can be used to extract features of images, product meta-data (or domain ontology) and convert these into embeddings. The text+image embeddings plus the embedded latent features of both items and users (meta-data of users, including browsing and purchase history) is combined with a feed-forward deep learning network.
This is a short form of the three hour tutorial we gave at Strata Data conference in California in March 2018:
https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/63818
Our code has been open sourced at:
https://pypi.org/project/tfrecommender/
Slides are also uploaded at the Strata website. We would need to cut down and extract small subset of slides from here:
https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/63818
Dr. Vijay Srinivas Agneeswaran has a Bachelor’s degree in Computer Science & Engineering from SVCE, Madras University (1998), an MS (By Research) from IIT Madras in 2001, a PhD from IIT Madras (2008) and a post-doctoral research fellowship in the LSIR Labs, Swiss Federal Institute of Technology, Lausanne (EPFL). He is now a Senior Director of Technology and heads data sciences team of SapientRazorfish in India. He has spent the last ten years creating intellectual property and building products in the big data area in Oracle, Cognizant and Impetus. He has built PMML support into Spark/Storm and realized several machine learning algorithms such as LDA, Random Forests over Spark. He led a team that designed and implemented a big data governance product for a role-based fine-grained access control inside of Hadoop YARN. He and his team have also built the first distributed deep learning framework on Spark. He is a professional member of the ACM and the IEEE (Senior) for the last 10+ years. He has four full US patents and has published in leading journals and conferences, including IEEE transactions. His research interests include distributed systems, data sciences as well as Big-Data and other emerging technologies. He has been an invited speaker in several national and International conferences such as O’Reilly’s Strata Big-data conference series. He was an editorial speaker at the Strata Data conference in London in May 2017 and will also be speaking at the Strata Data 2018 conference in San Jose. He is also in the program committee of Strata Data Singapore 2017 as well as Strata Data, San Jose, 2018. He lives in Bangalore with his wife, son and daughter and enjoys researching history and philosophy of Egypt, Babylonia, Greece and India.
https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/63818
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