Maksim Sipos : A visual perspective on Machine Learning

Feb 16, 2017 · Greater London, United Kingdom

Arrive from 18:00 for a start around 18:30.
This month we have Maksim Sipos talking to us about:
A visual perspective on Machine Learning
Machine Learning, AI and NLP are some of the most exciting emerging technologies. They are becoming ubiquitous and will profoundly change the way our society functions.  In this talk I hope I can provide a unique perspective, as someone who has entered the field coming from a more traditional Physics background.
Physics and Machine Learning have much in common.  I will explain how the two fields relate and how a physical point of view can help elucidate many ML concepts.  I will show how we can use Python code to generate illustrative visualizations of Machine Learning algorithms.  Using these visual tools I will demonstrate SVMs, overfitting, clustering and dimensional reduction.  I will explain how intution, common sense and careful statistics matter much when doing Machine Learning, and I'll describe some tools used in production.
Finally, I hope to share my enthusiasm for the field with the wider community of programmers: ML is incredibly interesting and it can be understood and applied by anyone.
About the speaker Max holds bachelors degrees in Physics and Math, and a PhD in Physics (Theoretical) from University of Illinois - Urbana Champaign.  He worked in an ML-based Wall Street hedge fund and as consultant to various Bay Area and Berlin-based startups.  During his career, Max interviewed 200+ data scientists and developers.  Most recently he splits his time between consulting in London and being CTO at DigitalMR (a market research tech company based in London).
Following Max's talk we will ajourn for drinks and further chat and discussions to a local watering hole.

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