'Challenges facing modern tax administration in the age of algorithms' TARC Data Science Masterclass

Date: Tuesday 28 & Wednesday 29 June 2016

Venue: Manchester Conference Centre, 78 Sackville Street, Manchester

TARC will be running a two-day data science Masterclass titled 'Challenges facing modern tax administration in the age of algorithms' on Tuesday 28 and Wednesday 29 June 2016, delivered by Dr. Tony Bellotti, Imperial College London. 

This Masterclass will present aspects of data science that can be used in tax administration. The class will review the main principles of Data Science and ways to make it work for us. It will consider several machine learning methods, such as support vector machine, random forests and boosting, that can be used to discover knowledge in data. The class will address the specific topics of Big Data, unstructured data and the challenges and opportunities of machine-generated data. Case studies from different industry sectors will be presented, demonstrating the applicability of the various methods. The class will include several practical sessions, using the R statistical language, enabling attendees to gain hands-on experience of the methods being taught. The course is developed in conjunction with the Data Science Capability Building Manager, Shakeel Khan, at HMRC, the UK tax authority.

Pre-requisites: Understanding of statistics and data mining fundamentals. Prior knowledge of R is not required.

Course material: Data Science for Business: What you need to know about data mining and data-analytic thinking, Foster Provost and Tom Fawcett, O'Reilly Media 2013.Exercise 3

DS Presentations

Programme