Our Fundamentals of Data Science Solutions self-learning course will guide you through the best metrics for assessing the performance of machine learning models.
Tag: Training
Fundamentals of Parallel Computing
Explain Live Session – Do you have existing company or research codes that need scaling up for use on supercomputing platforms, or old codes that need updating for newer systems? Aimed at Independent Users, this course will teach you how to parallelise your company’s code, enabling it to be used with high performance computing (HPC)…
Fundamentals of Exascale Computing
Explain Live Session – Aimed at independent users, this one day course will present Novel portable programming models for heterogeneous computer architectures (where the computer architecture uses more than one instruction set and so requires different programs to be written for each). We will introduce two of these programming models; SYCL (a C++ open standard from the Khronos…
Practical Guide to Geospatial Data
Explain Live Session – Developed in collaboration with IBM Research, UK. 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…