I enjoy giving talks and workshops on Data Analytics. Here is a list of some of the talks I’ve given. In my Mathematics master I regularly gave talks on technical topics, and previously I worked as a Tutor and Technician in a School in Northern Ireland. I consider the evangelism of data and analytics to be an important part of my job as a professional data scientist!
None planned so far
Slides and Videos from Past Events
Keynote at PyCon Colombia Feb 2017. The slides are here.
I gave a tutorial called ‘Lies damned lies and statistics’ at PyData London 2016. I’ll be discussing different statistical and machine learning approaches to the same kinds of problems.
Yesterday evening I gave a talk at the Data Science Meetup in Luxembourg.
This is part of my preparation for the talk at PyData the Python conference for Data Enthusiasts in Berlin.
A few remarks – my slides from last night are here in IPython notebook format.
I used for the presentation the excellent RISE library from https://twitter.com/damian_avila this easily converts IPython notebooks into Reveal JS format and I really recommend it.
Abstract of my Talk: Probabilistic Programming and Bayesian Methods are called by some a new paradigm. There are numerous interesting applications such as to Quantitative Finance.
I’ll discuss what probabilistic programming is, why should you care and how to use PyMC from Python to implement these methods. I’ll be applying these methods to studying the problem of ‘rugby sports analytics’ particularly how to model the winning team in the recent Six Nations in Rugby. I will discuss the framework and how I was able to quickly and easily produce an innovative and powerful model as a non-expert.
The talk also serves as a useful example of Probabilistic Programming, why it is useful and how to use PyMC to model an event rather than say a domain specific language like STAN.
On Academic talks
Cosma Shalizi, has an excellent talk on Academic talks.
I suggest one reads it.
I merely quote my favourite part:
- The point of the talk is not to please you, by reminding yourself of what a badass you are, but to tell your audience something useful and interesting. (Note to graduate students: It is important that you internalize that you are, in fact, a badass, but it is also important that then you move on. Needing to have your ego stroked by random academics listening to talks is a sign that you have not yet reached this stage.) Unless something matters to your actual message, it really doesn’t belong in the main body of the talk.
- You can stick an arbitrary amount of detail in the “I’m glad you asked that” slides, which go after the one which says “Thank you for your attention! Any questions?”.
- You also can and should put all these details in your paper, and the people who really care, to whom it really matters, will go read your paper. Once again, think of an academic talk as an extended oral abstract.
Internalise that you are in fact a bad ass. I wish more Professors gave advice like that.