We are very happy to announce the fifth PyData Cambridge meetup!

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

If you are planning to join us for the 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.

SPEAKERS
We are actively looking for speakers. If you want to volunteer or refer someone, please contact us at pydatacambridge@gmail.com.

Agenda

18:45 - Doors open
19:00 - "Python for Language: An Introduction to NLP and the Python NLP Universe" by Dr. Natasha Latysheva (abstract below)
19:45 - Interval / snacks provided
20:15 - "Pose and Gesture Recognition in Python" by Deniz Opal (abstract below)
21:00 - End (and go to a nearby pub: Salisbury Arms)

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

Python for Language: An Introduction to NLP and the Python NLP Universe

Speaker:
Dr. Natasha Latysheva

Abstract:
Natural language processing (NLP) is an exciting and rapidly growing at the intersection of language, text, and machine learning. This talk provides an introduction to some of the main areas of NLP and the Python libraries available for working on them.

The session will begin with a survey of NLP topics, including text classification, topic modelling, and chat bots. Then, there will be two deeper dives to explain the intuitions and techniques behind:

1. Word embeddings, which map words to numerically-represented meanings, and which have become pervasive across many NLP sub-fields; and
2. Machine translation, focusing on providing a taster of modern deep learning methods for automatically translating text between languages.

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Pose and Gesture Recognition in Python

Speaker:
Deniz Opal

Abstract:
Open Source projects have democratised pose and gesture recognition, creating a new paradigm in how people interact with technology. The latest libraries work cross-platform, even at low processing speeds, and only require a simple camera to process pose data, opening up unlimited possibilities in our interconnected camera-filled world.

Deniz will talk through the basics of getting set up with pose and gesture recognition in Python, so you may enhance your current solutions, or design new products, utilising the natural actions of your users.

Sponsors

This event would not be possible without our sponsors.

Many thanks to:

• Illumina, that helps with group maintenance costs
• Enthought, that helps with group maintenance costs
• Raspberry Pi, who offered the space to host the meetups
• NumFOCUS, that helps with group maintenance costs