Data Analysis – Understanding Uncertainty
In data analysis, understanding uncertainty is key. Inherent variability in physical processes, and the uncertainty...
Read More...Catch up on our latest publications, conferences, projects, news and more.
You can use the search box or the filters function to narrow down results.
In data analysis, understanding uncertainty is key. Inherent variability in physical processes, and the uncertainty...
Read More...How to understand a model To better interpret machine learning (ML) models, we can use...
Read More...Why should you trust predictions made by a machine? Frequently machine learning (ML) models are...
Read More...This case study covers our unchurn tool, a Machine Learning customer churn prediction tool for...
Read More...Convolutional neural networks (ConvNets) are routinely used in image recognition, with state-of-the-art performance for object...
Read More...When conducting industrial #research, images of the evolving process can provide a wealth of information...
Read More...Artificial neural networks (ANNs) perform a variety of tasks in machine learning from prediction to...
Read More...Some applications can greatly benefit from characterizing the size distribution of droplets suspended in an...
Read More...This content was originally published in four parts which have been combined below. Intro Big...
Read More...Data has become far more abundant and accessible in the modern world. Whether this data...
Read More...Current wildfire prediction tools primarily use climate & meteorological data from Earth-based weather stations. This...
Read More...Our Advanced Instrumentation and Data Science team’s latest white paper has been published by the...
Read More...