PyData Delhi Meetup #22

Apr 21, 2018 · Delhi, India

Schedule (12 PM - 5 PM):

1. Deep Learning and it's applications in Modern NLP by Yugal Sharma
(https://github.com/pydatadelhi/talks/issues/69)

2. Lightning Talks

3. Break and Networking Session

4. Word Embeddings & NLP Applications by Janu Verma
(http://jverma.github.io/)

People who would like to volunteer to PyData Delhi, please stay for a while after the meetups end!

Note: Please keep your RSVP up to date, it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit!

Logistics:

• Venue map: https://goo.gl/maps/bmbK3yLZivv

• Nearest Metro Station: Dwarka Mor (Blue Line)

Doors open at 11:30 AM, talks start at 12:00 PM.

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Please, unRSVP if you realise you can't make it. We're limited by space on the number of attendees, so please free up your place for your fellow community members!

Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. See you on the 21st!

We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd )

Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment on your talk's title/topic. Beginner topics are always welcome!

Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here ( https://github.com/pydatadelhi/talks ) :)

Contact:
Message us through the message tab on the meetup page, or ping either of these people directly:

• Sanket: [masked]
• Laksh: [masked]

Event organizers
  • PyData Delhi

    PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to)

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