talk-data.com

PyDataMCR March

THE TALKS

Symbolic Regression - Yash Yeola (he/him)

Ever wondered how to get ML models do maths? Yash will demystify symbolic regression, an evolutionary technique that discovers human-readable mathematical models from data.

What to expect in this talk: ✅ Explore the core principles behind symbolic regression. ✅ Build a symbolic regression algorithm from scratch — no black boxes here! ✅ Understand the latest trends in the space

Let’s decode the equations behind the data — one symbol at a time.

Yash is a data scientist with a strong background in Mathematics and Computing, which has been instrumental in his work across various sectors. He has developed interpretable models for public sector stakeholders, ensuring clarity and transparency while handling sensitive data with the utmost care. Currently, at Butterfly Data, his main focus is NLP projects and leveraging Generative AI to automate processes, enhancing efficiency and innovation within their operations.

Mind the Gap: Making Technical Concepts Click with Any Audience - Magdalena Rabczewska (She/Her)

Have you ever attended a presentation where you walked away more confused than when you arrived? Been in a meeting where the misinterpretation of a technical concept caused delays or frustration? Or maybe you would like to just learn more about how to communicate with both technical and business audiences? If so, this talk is for you.

Magdalena will share practical, actionable strategies for effectively presenting technical ideas to both technical and business audiences. Drawing from her experience working closely with senior leadership as well as technical teams, she will highlight the importance of tailoring your message, using relatable analogies, and anchoring complex ideas in ways that make them accessible and relevant.

You’ll leave with tangible tips on structuring your presentations, crafting impactful data stories, and ensuring your audience understands the "why" behind the tech. Whether you're speaking to C-suite executives or cross-functional teams, this talk will help you bridge the gap and make sure your technical concepts truly click.

Magdalena is a Senior BI Developer with a passion for data visualisation and creating dashboards that make complex information clear and accessible. Specialising in designing intuitive dashboards and building robust data models, she works to bridge the gap between technical and business needs, empowering data-driven decision-making and ensuring data is easily understood by a wide range of audiences.

Location We'll be at AutoTrader, who are kindly supplying the venue and catering. The capacity is limited to 80.

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

There is a quiet room available if needed. Toilets and venue are accessible.

SPONSORS

Thank you to NUMFocus for sponsoring Meetup and further support.

Thank you to AutoTrader for their sponsorship and for the awesome venue and catering!

Thank you to Krakenflex for sponsoring PyDataMCR.

PyDataMCR March!

THE TALKS

Developing Valuable ML Products - John Carney (he/him) With the release of LLMs we're in the middle of another AI hype-cycle. It's important to remember that we need to use these exciting AI tools to help deliver business value, otherwise they're just toys. John will be discussing steps and strategies he's used in the past to deliver value to organisations through building ML systems and products. John Carney

ML Engineering - Group Discussion After the talk as a group we will be discussing questions posed around ML engineering.

We will bring our questions, but please come with your own questions, opinions and ideas. We will be using Slido to help facilitate this.

Location We'll be at Krakenflex Manchester, who are kindly supplying catering. The capacity is limited to 100.

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. Toilets are accessible, so I am hoping the venue is too but looking for more details!

SPONSORS

Thank you to NUMFocus for sponsoring Meetup and further support

Thank you to Krakenflex for an awesome venue and catering!