The Fifth Elephant 2017

On data engineering and application of ML in diverse domains

Theme and format

The Fifth Elephant 2017 is a four-track conference on:

  1. Data engineering – building pipelines and platforms; exposure to latest open source tools for data mining and real-time analytics.
  2. Application of Machine Learning (ML) in diverse domains such as IOT, payments, e-commerce, education, ecology, government, agriculture, computational biology, social network analysis and emerging markets.
  3. Hands-on tutorials on data mining tools, and ML platforms and techniques.
  4. Off-the-record (OTR) sessions on privacy issues concerning data; building data pipelines; failure stories in ML; interesting problems to solve with data science; and other relevant topics.

The Fifth Elephant is a conference for practitioners, by practitioners.

Talk submissions are now closed.

You must submit the following details along with your proposal, or within 10 days of submission:

  1. Draft slides, mind map or a textual description detailing the structure and content of your talk.
  2. Link to a self-record, two-minute preview video, where you explain what your talk is about, and the key takeaways for participants. This preview video helps conference editors understand the lucidity of your thoughts and how invested you are in presenting insights beyond your use case. Please note that the preview video should be submitted irrespective of whether you have spoken at past editions of The Fifth Elephant.
  3. If you submit a workshop proposal, you must specify the target audience for your workshop; duration; number of participants you can accommodate; pre-requisites for the workshop; link to GitHub repositories and documents showing the full workshop plan.

About the conference

This year is the sixth edition of The Fifth Elephant. The conference is a renowned gathering of data scientists, programmers, analysts, researchers, and technologists working in the areas of data mining, analytics, machine learning and deep learning from different domains.

We invite proposals for the following sessions, with a clear focus on the big picture and insights that participants can apply in their work:

  • Full-length, 40-minute talks.
  • Crisp, 15-minute talks.
  • Sponsored sessions, of 15 minutes and 40 minutes duration (limited slots available; subject to editorial scrutiny and approval).
  • Hands-on tutorials and workshop sessions of 3-hour and 6-hour duration where participants follow instructors on their laptops.
  • Off-the-record (OTR) sessions of 60-90 minutes duration.

Selection Process

  1. Proposals will be filtered and shortlisted by an Editorial Panel.
  2. Proposers, editors and community members must respond to comments as openly as possible so that the selection processs is transparent.
  3. Proposers are also encouraged to vote and comment on other proposals submitted here.

Selection Process Flowchart

We will notify you if we move your proposal to the next round or reject it. A speaker is NOT confirmed for a slot unless we explicitly mention so in an email or over any other medium of communication.

Selected speakers must participate in one or two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.

There is only one speaker per session. Entry is free for selected speakers.

Travel grants

Partial or full grants, covering travel and accomodation are made available to speakers delivering full sessions (40 minutes) and workshops. Grants are limited, and are given in the order of preference to students, women, persons of non-binary genders, and speakers from Asia and Africa.

Commitment to Open Source

We believe in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like for it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), you should consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support the conference in return for giving you an audience. Your session will be marked on the schedule as a “sponsored session”.

Important Dates:

  • Deadline for submitting proposals: June 10
  • First draft of the coference schedule: June 20
  • Tutorial and workshop announcements: June 20
  • Final conference schedule: July 5
  • Conference dates: 27-28 July

Contact

For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.


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Hosted by

The Fifth Elephant - known as one the best #datascience and #machinelearning conference in Asia - is transitioning into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

Charumitra Pujari

@charupujari

From a recommendations carousel to personalizing entire app - personalization story at paytm

Submitted Apr 4, 2017

At paytm we value user experience and we want to pre-emptively show a user the types of products they would want to buy. In this talk, we will walk our audience through how we personalize every pixel on our app. How do we use deep learning on tens of terabytes of data everyday to sort long tail merchandise and how we use an ensemble of several models to generate every recommendation. We will share our learnings from trying several iterations of models and we will show why standard recommendation techniques are not widely applicable and why we had to come up with our own framework for solving these problems.

Outline

At paytm we value user experience and we want to pre-emptively show a user the types of products they would want to buy. In this talk, we will walk our audience through how we personalize every pixel on our app. How do we use deep learning on tens of terabytes of data everyday to sort long tail merchandise and how we use an ensemble of several models to generate every recommendation. We will share our learnings from trying several iterations of models and we will show why standard recommendation techniques are not widely applicable and why we had to come up with our own framework for solving these problems.

Speaker bio

Charu is a seasoned machine learning and big data technology leader with over 11 years of experience
building data products for companies like Amazon, Canadian Tire and Accenture.
At Paytm, Charu manages data product teams like personalization, seller scoring, customer scoring and
product forecasting.
Charumitra is a hands on leader with experience leveraging machine learning in many verticals like
personalization, retail merchandise planning, loyalty marketing, digital analytics, supply chain modeling
and operations optimization. He has expertise in setting up data science teams and scaling them to
automate decision making using machine learning.
Prior to Paytm, Charu, setup first data science team at Amazon in Canada. Prior to that he was Solutions
Architect at Canada’s largest retailer helping them setup big data and analytics team responsible for
managing assortment across 1000+ stores.
Charumitra Pujari has graduated from the McMaster University with a Masters in Engineering.

Slides

https://www.slideshare.net/secret/4hE1Icj9u9GV21

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Hosted by

The Fifth Elephant - known as one the best #datascience and #machinelearning conference in Asia - is transitioning into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more