Bayesian Parameter Estimation
Often, we want to describe a process using a model. Having collected some data, we...
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Often, we want to describe a process using a model. Having collected some data, we...
Read More...This post was originally published in two parts which have been combined below. Part 1...
Read More...Machine Learning (ML) and Artificial Intelligence (AI) are at the forefront of many technologies. ML...
Read More...This post was originally published in two parts which have been combined below. Part 1...
Read More...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...
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