Tentative Schedule is here

PyData Delhi 2017

Hosted by IIIT-Delhi ( Venue )

2-3 September 2017

Buy Tickets on: Explara

Want to speak at PyData Delhi Conference? Great! We would love to have you!

Over 200 participants are waiting for you!

We’re looking for proposals on every aspect of data science such as:
  • Machine learning
  • Deep learning
  • AI
  • Development in languages used in data science (e.g. Python, R, Julia)

Submit an official CFP for speaking tracks for the main stages here: https://pydata.org/delhi2017/cfp/

Call For Proposals deadline: August 5

Follow announcements and updates on our blog here, or our Twitter here, or our community group on Telegram here

Have questions? Interested in sponsoring? Email us at [email protected].

Keynote speakers

  • Siraj Raval: Data scientist & Youtube star will speak about “The math behind Deep learning”
  • Prabhu Ramachandran: He has been a faculty member at the department of Aerospace engineering, IIT Bombay, since 2005. He will speak about "My experiments with Python"
  • Farhat Habib: He is currently a Senior Research Scientist at MARA Labs Inc. He will speak on "Machine Learning in Online Advertising"
  • Ponnurangam Kumaraguru: He is currently an Associate Professor of Computer Science at IIIT Delhi. He will speak on "Data Science for Social Good"
  • Anuj Gupta: He is a senior ML researcher at Freshworks. He will speak on "Recent advances in NLP"

WHAT IS

PYDATA

PyData conferences bring together users and developers of data analysis tools to share ideas and learn from each other. The PyData community gathers to discuss how best to apply Python tools, as well as tools using R and Julia, to meet evolving challenges in data management, processing, analytics, and visualization.

We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person.

For more information about the conference series, visit:

PyData.org

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