Fast Data Science is excited to be partnering with UK Data Service to deliver a practical workshop on how to best use Harmony for analysing data in the social sciences.
The session will take place online on 29 November.
With live demonstrations of Harmony tool and library’s key functionalities, participants will leave with a clear understanding of how this tool can improve their data management processes which will help improve the efficiency and accuracy of longitudinal data analysis. Sign up for the session.
The session will be presented by Harmony project leaders: Bettina Moltrecht, PhD from the Centre for Longitudinal Studies at UCL, Eoin McElroy from Ulster University and Thomas Wood from Fast Data Science.
Click to read more about AI in research at Fast Data Science.
Looking for experts in Natural Language Processing? Post your job openings with us and find your ideal candidate today!
Post a Job
How can you predict customer churn using machine learning and AI? In an earlier blog post, I introduced the concept of customer churn. Here, I’d like to dive into customer churn prediction in more detail and show how we can easily and simply use AI to predict customer churn.
A generative AI-based legal advice tool for small businesses in distress We are pleased to announce the publication of our paper A generative AI-based legal advice tool for small businesses in distress, in collaboration with an interdisciplinary team based in the UK and Hungary.
Thomas Wood presents the Clinical Trial Risk Tool before the November meeting of the Clinical AI Interest Group at Alan Turing Institute The Clinical AI Interest group is a community of health professionals from a broad range of backgrounds with an interest in Clinical AI, organised by the Alan Turing Institute.
What we can do for you
