What we're about

This is a meetup for all who are interested in data science and applied statistics.

We'll cover:
- Statistics
- Machine Learning
- Analytics
Major languages used include SQL, R & Python, but we're always open to new tools.

Upcoming events (4)

An Introduction to Options, Non-linear Payoffs and Risk Margining

Harbourmaster Bar and Restaurant

Venue Capacity: 80 people The capacity of the venue is about 80 people but because of no-shows, we have a policy of first-come, first-served on the night in the event of the room filling up. Managing no-shows is a problem all Meetups have to deal with and this is the fairest method we can think of. While we have never been in a position to turn anyone away for capacity reasons, it is always a possibility, so please arrive early to avoid disappointment on the night. Options, like many other financial derivatives, are an important part of the risk landscape in the global economy. In this talk I introduce the basics of what options are, some practical considerations about how they are used for both hedging and speculation, and the standard methods for pricing these instruments. With the basics established, we then discuss methods for assessing the risk of a portfolio of options and an unusual approach I had to take to calculate the margin on a book of business due to some non-standard regulatory requirements. This approach uses a combination of functional programming, optimisation and method dispatch, along with the potential for some clever ML approaches to further improve performance. Dublin Data Science would like to thank Stelfox IT Recruitment for sponsoring the venue.

Graphs are Everywhere

Dogpatch Labs

Venue Capacity: 80 people The capacity of the venue is about 80 people but because of no-shows, we have a policy of first-come, first-served on the night in the event of the room filling up. Managing no-shows is a problem all Meetups have to deal with and this is the fairest method we can think of. While we have never been in a position to turn anyone away for capacity reasons, it is always a possibility, so please arrive early to avoid disappointment on the night. Speaker: Gavin Mendel-Gleason There is currently significant interest in graph databases and knowledge graphs within the data science community. The primary benefit of a graph is that relationships in the data are treated as first class citizens so you can easily connect new data items as they are injected into the data pool. In addition to the basic functionality of a graph db, a knowledge graph has a strong semantic layer. The meaning of the data is encoded alongside the data in the graph. A knowledge graph is self-descriptive in that it provides a single place to find and understand the data. Knowledge graphs being actual graphs, in the proper mathematical sense, allow for the application of various graph-computing techniques and algorithms (for example, shortest path computations, or network analysis), which add additional intelligence over the stored data. Modern enterprises, especially those engaged in AI or ML, need to process complex data. They require an expressive data model and an intelligent query language to perform knowledge engineering over complex datasets. In this talk, we will discuss knowledge graphs and graph query - discussing the optimal design for a graph query language. We will also debate the benefits of various approaches to core knowledge graph engine design. Gavin Mendel-Gleason is a doctor of computer science, specialising in type theory and formal methods. He has worked in industry in big-data modelling, search and query optimisation and in both supervised and unsupervised machine learning techniques. His passion is creating a synthesis of logical techniques for knowledge representation and reasoning with modern machine learning techniques to create the database of the future. Gavin is currently the Chief Technology Officer at DataChemist.

Placeholder Talk

Dogpatch Labs

Details forthcoming

Web Scraping Talk

WeWork

More details (including event time) is forthcoming

Past events (25)

Workshop on Time Series Analysis

Chaplins Bar

Photos (33)