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Motivation Robust water resource planning and management decisions rely upon the evaluation of alternative policies under a wide variety of plausible
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Starting with version 2203 of the Automated Predictive Library (APL) intermittent time series are given a special treatment. When the target value
34 min read
VictoriaMetrics VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. It is available in
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When it comes to determining whether a business will succeed or fail, time is the most important factor. Pre-processing, trend normalization, and,
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This post is meant to be an introduction to the concept of data augmentation. Data augmentation is the process of increasing the size of your data
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Finding the best values of a machine learning model’s hyperparameters is important in order to build an efficient predictive model. In time-series
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Since its inception, KX has been the exclusive domain of programmers skilled in the language q, and used primarily for the most demanding analytics
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Optimal Trading Thresholds for the O-U Processby Andy Lin and Illya Barziy BOOTSTRAP YOUR CAREER WITH THE APPRENTICESHIP PROGRAM APPLY
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In the last post, In the last post, moved by the necessity to compare time series, I browsed literature and my library of papers to find
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This post is meant to be an introduction to convolutional neural networks (CNNs) and how they can be applied to continuous prediction problems, such
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It is well known that classical estimates of location and scale (for example, the mean and standard deviation) are influenced by outliers. In the
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When data contain outliers, medians estimate the center of the data better than means do. In general, robust estimates of location and sale are
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Creating AI models is not a walk in the park. So why not get AI to… build AI? Sounds simple, but with the ever-growing variety of models, data
1 min read
Creating AI models is not a walk in the park. So why not get AI to… build AI? Sounds simple, but with the ever-growing variety of models, data
3 min read
The quantity of time series data generated by enterprises is increasing. IoT and cybersecurity create a lot of this data but they are not alone. To