Teaching Computational Science Workshop
This ICCS24 workshop will focus on innovations in teaching computational science in its various aspects like modelling and simulation, high-performance and large-data environments for all levels and in all contexts.
Solving Problems with Uncertainty
This ICCS24 workshop will focus on methods and algorithms for solving problems with uncertainties, stochastic methods and algorithms for solving problems with uncertainties.
Fundamentals of Reinforcement Learning
Aimed at independent users, this course in Reinforcement Learning (RL) will take you through some of the practical considerations to make when looking at how Reinforcement Learning can be used as a decision-making tool in your business.
Practical Guide to Geospatial Data
In this course you will be shown how to use mass geospatial data for model for predicting trends in business operations or planning. Starting with the challenges experienced with today’s solutions, we will explore the consequences of these existing technical limitations with a focus on flood events in the UK.
Fundamentals of Geospatial Data
This is part of a three-course pathway to learning and understanding the capabilities of geospatial data analytical tools and techniques and how it can be used for industry.
Practical Guide to DevOps for AI
MLOps focuses on the intersection of ML engineer and Data engineer in combination with existing DevOps practices to streamline model delivery across the machine learning development life cycle.