A new seminar called ‘The Masters Series’ is being launched by The Analytics Store this month and will provide in-depth training in analytics. Irish Tech New spoke to Nina Copeland to find out more.
What’s it all about?
The Masters Series is specialised training for analytics professionals who are looking for an intensive, hands-on introduction to an area. We are bringing in recognised experts in these fields to deliver each 1-day workshop:
Deep Learning: Dr. Brian Mac Namee (25th April)
Natural Language Processing: Professor John Kelleher (22nd May)
Network Analytics: Dr. Derek Greene (6th September)
Anomaly Detection: Aoife D’Arcy (23rd October)
When and where is it on?
The Science Gallery. The Deep Learning seminar runs first, on the 25th of April.
How can people book tickets / when does it usually sell out?
You can see more about the series and book a ticket here https://theanalyticsstore.ie/masters-series/ . Each seminar is €399, or in a bundle for €1200. Our early bird rates are closed for the first seminar, but readers of Irish Tech News can avail of a €50 discount by contacting us for a voucher code ([email protected]).
What exciting things can people look forward to?
The seminars will be dynamic and interactive: we use lots of real world examples and everything is demonstration-led. All of the code (python) will be distributed before hand so that attendees can follow along. By the end of the day, attendees will be equipped with the most important techniques from that area, and an understanding of how they can be applied to build real-world solutions. To get all of that, in just one day, is pretty exciting.
What was the inspiration to start it?
We got lots of requests for an alternative type of training – intensive and comprehensive. To do both is quite a challenge! There is very little training available for experienced analytics professionals who need to implement a specialist solution quickly. Senior personnel simply can’t afford to take three days off for a training course. We solved the problem by assuming that attendees have a working knowledge of standard analytics, so we can deliver condensed material in these ‘hot’ topics.
What opportunities are on offer for those attending?
The opportunity to learn from some of the most highly respected specialists working in Ireland today is not to be missed.
High-level Networking opportunities will arise as the series is focused on analytics professionals.
At the end of the first day, Deep Learning attendees can expect to be able to:
- Frame business problems as deep learning problems and solve them using appropriate techniques
- Understand the basic structure of artificial neural networks
- Understand gradient descent and the back-propagation of error algorithm
- Appreciate the complications involved in building deep neural networks
- Understand how to apply appropriate deep learning techniques (e.g. convolutional neural networks) to image understanding problems (e.g. classification and segmentation)
- Understand how to apply appropriate deep learning techniques (e.g. recurrent neural networks) to text understanding problems (e.g. classification and translation)
Who will be speaking?
Each seminar is led by an expert. Dr. Brian Mac Namee is delivering the Deep Learning. Dr. Brian Mac Namee received a BA (mod) and PhD in Computer Science from Trinity College Dublin in 2000 and 2004 respectively. After a period working in industry as an R & D software engineer for Agilent Technologies, Brian joined the School of Computing at Dublin Institute of Technology as a lecturer in 2005.
At DIT Brian co-founded the Applied Intelligence Researcher Centre (www.ditairc.ie), and developed DIT’s successful MSc in Computing (Data Analytics) programme. In 2015 Brian joined the UCD School of Computer Science as a lecturer where he is a Principal Investigator at the CeADAR centre and a Funded Investigator at the Insight centre.
Brian’s research focuses on machine learning, predictive analytics, data visualisation, and augmented reality. Brian has published extensively in machine learning, predictive analytics, and information visualisation – a recent highlight is the textbook “Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples and Case Studies” published with MIT Press in 2015 (www.machinelearningbook.com).
Prof. John Kelleher is a lecturer in the School of Computing at the Dublin Institute of Technology (DIT), and is a founding member of the Applied Intelligence Research Centre at DIT. John is co-author of the text book Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies published by MIT Press in 2015.
John has conducted research and presented work internationally in the broad areas of Artificial Intelligence, Data Analytics, Natural Language Processing and Computational Linguistics. Some of the specific topics in which John has worked are: machine learning, machine translation, activity recognition, grounding language in perception, reference resolution and generation, dialog systems and human robot interaction, spatial cognition and computational models of spatial semantics
Dr. Derek Greene has over 13 years’ experience in the field of machine learning, with a PhD in Computer Science from Trinity College Dublin, and over 40 research papers presented at international conferences and published in journals. He currently leads a research group which focuses on algorithms and applications in areas such as social network analysis and text mining.
Aoife D’Arcy has over 14 years’ experience in analytics consultancy. She has worked with many of the major national and international companies in banking, finance, insurance, gaming and manufacturing. Her analytics models have been successfully deployed in industry in customer insight analytics, fraud analytics, and risk analytics (amongst others). She holds advanced degrees in statistics, computer science, and financial and industrial mathematics.
What tips would you give to people attending to get the most out of it?
Prior to the event, we will send out suggested online revision materials and a list of specific functionality with which delegates should be familiar. Having that covered in advance will make the seminars extremely fruitful.
For information please visit https://theanalyticsstore.ie/masters-series/