Launch of PyData Dublin at Workday!

[IMPORTANT] To attend this event, please register via our Eventbrite link (https://www.eventbrite.ie/e/launch-of-pydata-dublin-at-workday-tickets-37693267578) in order to be allowed entry. Meetup RSVPs will not grant access on the night.

We're delighted to announce the launch of PyData Dublin!

Join us on Wednesday, 27th September at Workday's (https://www.workday.com) Dublin office in Smithfield,to hear talks by two leading data scientists from the Insight Centre for Data Analytics (https://www.insight-centre.org): Dr Barry Smyth, and Dr. Derek Greene. Details oftheir talks can be found below.

https://secure.meetupstatic.com/photos/event/5/3/8/600_464341336.jpeg

Dr. Barry Smyth (https://www.linkedin.com/in/bsmyth) | Google Scholar (https://scholar.google.com/citations?user=UxqudeoAAAAJ) | Twitter (https://twitter.com/barrysmyth) | Beginner Talk | 30 mins incl. QA

Running with Data: How Marathon Data can Help Runners to Achieve Faster Times.

Every year millions of people around the world run marathons. As race-day approaches, and training schedules begin to wind down, many participants will turn their attention to their race strategy. In this talk we will describe a machine learning approach to supporting runners in this process by helping them to select a suitable target finish-time and a race-plan to achieve it.

Dr. Derek Greene (https://ie.linkedin.com/in/derekgreene) | Google Scholar (https://scholar.google.com/citations?user=htlibRwAAAAJ&hl=en) | Twitter (https://twitter.com/derekgreene) | Advanced Talk | 30 mins incl. QA

Topic Modelling with Scikit-Learn

Topic models aim to automatically discover the underlying thematic structure in a collection of documents. Popular approaches include Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorisation (NMF). In this talk I will describe how to use the Python scikit-learn package to preprocess a document collection, to apply both LDA and NMF to generate topic models, and then to explore the resulting models to get a better understanding of the contents of the collection.

AGENDA:

[18:15 - 19:00] Registration, networking, and refreshments.

[19:00 - 19:30] Running with Data: How Marathon Data can Help Runners to Achieve Faster Times by Dr. Smyth

[19:30 - 20:00] Topic Modelling with Scikit-Learn by Dr. Greene

[20:00 - 20:30] Wrap-up, networking, and refreshments.