We are very happy to announce the first ever PyData Cambridge meetup!

Many thanks to Raspberry Pi, that kindly agreed to host the group.

If you are planning to join us for our first event, make sure you RSVP as we have limited space. Also, please make sure you cancel in case you can't make it anymore to make space for others that may be able to attend.

Agenda

18:45 - Doors open
19:00 - Welcome to PyData Cambridge!
19:15 - "Let the AI Do the Talk: Adventures with Natural Language Generation" by Marco Bonzanini (see abstract below)
20:15 - "Counting your A,C,G and Ts: python in Bioinformatics", by Ole Schulz-Trieglaff (see abstract below)
21:00 - End (and go to a nearby Pub)

Code of Conduct

PyData is dedicated to providing a harassment-free event experience for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form.

The PyData Code of Conduct governs this meetup. ( http://pydata.org/code-of-conduct.html ) To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (+1 512-222-5449; leah@numfocus.org) or the group organizer.

Talks

Let the AI Do the Talk: Adventures with Natural Language Generation

Speaker:
Marco Bonzanini

Abstract:
Recent advances in Artificial Intelligence have shown how computers can compete with humans in a variety of mundane tasks, but what happens when creativity is required?

This talk introduces the concept of Natural Language Generation, the task of automatically generating text, for examples articles on a particular topic, poems that follow a particular style, or speech transcripts that express some attitude. Specifically, we'll discuss the case for Recurrent Neural Networks, a family of algorithms that can be trained on sequential data, and how they improve on traditional language models.

The talk is for beginners, we'll focus more on the intuitions behind the algorithms and their practical implications, and less on the mathematical details. Practical examples with Python will showcase Keras, a library to quickly prototype deep learning architectures.

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Counting your A,C,G and Ts: python in Bioinformatics

Speaker:
Ole Schulz-Trieglaff

Abstract:
There is currently a lot of excitement about Data Science applied to retail, marketing and finance. But life sciences has seen a data explosion as well, in particular the field of DNA sequencing.

I will describe some data problems and great open source python projects
in Bioinformatics.

Sponsors

This event would not be possible without our sponsors.

Many thanks to:

• NumFOCUS, that helped us with the group setup, and connecting us to the speakers
• Raspberry Pi, who offered the space to host the meetups