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Join Data Science Festival - London at King this month for two great speakers, Miroslaw Horbal and Phil Howard.
6.00pm doors open[masked]:15pm talk - Miroslaw Horbal
7:15 - 7:45 pm - Beer & Pizza
7:45 - 8:30pm talk - Phil Howard
8:30 - 9.00pm drinks and close
Miroslaw Horbal: Deep Learning – Making Humans Obsolete One Layer at a Time
Summary: Applying deep learning techniques to learn player representations for modelling, clustering, and visualization. Using techniques for learning word embeddings, category embeddings, sentence embeddings, and low-dimension projections with T-SNE we are able to develop clustering and visualization tools to quickly explore and analyse player behaviours via an interactive web application. These tools allow us to identify emerging player behaviour, balance issues within the game, and player ‘metas’ in our new CCG Chronicle: Runescape Legends.
Bio: Miroslaw Horbal - Data Scientist @ Jagex. Recently moved to the UK from Canada after becoming tired of riding moose and wrestling bears on a regular basis. I’ve been working as a Data Scientist for the past 2 years, working within the gaming industry since November 2015. I reached a Kaggle Master status in early 2014 and have been focusing much of my time on bleeding edge research in the field of Deep Learning. Outside of Data Science / Machine Learning, I’m an avid gamer, played Battlefield competitively for 3 years and been gaming since the age of 4.
Phil Howard: Data Science for Game Analytics at King.
Summary: How do we apply Data Science to King’s portfolio of games? I’ll share examples from projects in London’s Farm Heroes Saga studio of how we learn from our network of over 450 million monthly players. From collecting the right data and making it accessible, to understanding the diversity of players and the nuances of casual gaming behaviour, I’ll provide insights into how we handle our core challenge: Understanding what it is that will continue to make King games fun for years to come.
Bio: Phil Howard - Senior Data Scientist @ King. Phil provides technical leadership for analytics teams across King’s global offices. At King he has worked on diverse Data Science projects, from forecasting Customer Lifetime Value to content optimisation and AB testing new game features. He has spent the last 10 years working with big datasets to understand complex systems, both in academia and industry. Prior to joining King in 2012 he helped to develop the systems underlying the UK’s Flood Forecasting Centre. He graduated with a Masters in Physics from Oxford in 2001 before gaining his PhD in Quantum Chaos from Royal Holloway in 2006.