PyData Montreal Meetup #11

NOTE NEW LOCATION
We just launched our chat focused on DS&ML topics: http://bit.ly/ds-ml-chat (it's free to join)

Join us for our 11th PyData Montreal meetup:

• "Embeddings from the ground up" by Matt Ranger
• "Debugging Jupyter Notebooks" by Maria Khalusova

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Agenda
6:00 pm—Doors open

6:20 pm—Embeddings from the ground up

Abstract:
Embedding methods gained notoriety when they launched NLP into a new golden age in the last decade. But embedding methods are useful for more than just text data: they can turn most discrete data structures into a continuous representation. In this talk, we'll go over the basics of embeddings, show why they work so well with text data. We'll see how to apply embedding to other problems: platform user accounts, networks, higher-level embeddings created from different sub-embeddings. We'll also go over some common pitfalls and useful linear algebra tricks that help workflows with embeddings.

About Matt:
Matt Ranger is a data scientist at Acquisio where he works on the algorithm and optimization infrastructure. Prior to that, he worked in game analytics and as a professional poker player for half a decade. His academic background is in economics.

7:00 pm — Break

7:20 pm —"Debugging Jupyter Notebooks"

Abstract:
Writing code in a Jupyter Notebook is an interactive process involving a lot of trial and error. As your code evolves, errors and bugs inevitably start to creep in. A debugger can help track them down. In this talk, we’ll go through some reasons why you may want to debug your notebook. Then, we’ll explore how you can debug notebooks with the ipdb debugger. Finally, we’ll see how we can use an IDE to track down those pesky bugs.

About Maria:
Maria is a Developer Advocate at JetBrains where she has been working since 2006. She is passionate about all things data and Python. She has a degree in Applied Informatics, but learning never stops. She keeps on advancing her knowledge in Data Science, Machine Learning, Data Engineering, and relevant technologies. She understands the challenges faced by newcomers to the field and wants to help learners overcome those challenges by sharing her knowledge and practical tips.

8:00 pm — Break and networking