PyDataMCR November!

PyDataMCR November!
Welcome all, it's been a while, two events in two weeks! We are excited to return to Infinity Works (part of Accenture).

THE TALKS

**Machine Learning Engineering: Bridging the gap between data science and software engineering - Izunna Aneke - https://www.linkedin.com/in/izunna-aneke**
This talk will attempt to bridge the gap between software engineering and data science, by discussing relevant computer science concepts that I believe data scientists should employ in order to enable them build machine learning products and not just simply machine learning models.

Izunna is a Machine Learning Engineer at N Brown. He works with his team to deploy machine learning models into production, so that they can be used to help the business make better decisions.

Testing for Data Science - John Carney - @jaspajjr
It's really difficult to test data science projects, as there's so many non-deterministic processes, and data changes so quickly. Does that mean we shouldn't test? Absolutely not! John will talk about some strategies to use for testing data science projects.

John a PyDataMCR organiser, Data Science Architect at Netacea, and Director of Data at PDFTA

IN-PERSON
Come check out the new infinity works office. Catering is sponsored by Infinity works. Due to COVID restrictions we can only have 70 people in office, so tickets are limited.

EVENT GUIDELINES
PyDataMCR is a strictly professional event, as such professional behaviour is expected.

PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct

https://pydata.org/code-of-conduct.html

Please take a moment to familiarise yourself with its contents.

ACCESSIBILITY
Under 16s welcome with a responsible guardian. There is a quiet room available if needed. Venue is too but looking for more details!

SPONSORS
Thank you to NUMFocus for sponsoring Meetup and further support
Thank you to Infinity Works for an awesome, hybrid-ready venue and catering!