IN PERSON meetup!

We're back, everyone! We'll be having our event IN PERSON this month, though we will try and host a livestream as well!

If you'd like to help out during the event, please let me know and/or join our slack: pydataboston.slack.com

or discord: https://discord.gg/WarDH8rDPz

Please ONLY RSVP if you are able to come in person! Space is limited!

Location TBA, but will likely be near Prudential Center

AGENDA
7:00-7:15: Welcome and intro
7:15-7:50: Session 1
7:50-8:00: Break
800-8:30: Session 2
8:30-9:00: Post-session social

Our Sessions:
Session 1:
Data science done wrong: how & why and data scientists make mistakes
Sometimes data scientists get things very, very wrong. They make poor choices because their focus is too narrow and too low level; they're in love with machine learning to everything else's detriment. In this talk, I'll talk about some projects that went wrong, why they went wrong, and what you can do to be right more often.
Speaker bio:
Mike Woodward is VP of Data Science at Axio, a cyber risk quantification company. Before that he was VP of Data Science for a cyber security company in New York, and before that Senior Head of Analytics at a Boston fashion industry startup. He has degrees from British and American universities. He previously spoke to PyData Boston on predicting US Presidential elections.

Session 2:
Intro to Weaviate open-source vector database
Weaviate is an open-source vector database that offers fast and scalable search. Weaviate allows you to store and retrieve data objects based on their semantic properties by indexing them with vector embeddings. In this talk, I will show you how to build a Weaviate application using Python in just a few steps.
Speaker bio:
Erika Cardenas is a Developer Advocate at Weaviate, an open-source vector database. Her interests are in vector databases, LLM frameworks, and Retrieval Augmented Generation. As a developer advocate, she is passionate about sharing her work with others and bringing them along on the journey!