A successful example of machine learning-based anomaly detection for predictive maintenance comes from San Diego Gas & Electric. This public utility company faced a widespread energy leakage problem.

Machine learning can be applied in a variety of areas, such as in investing, advertising, lending, organizing news, fraud detection, and more. Understanding Machine Learning ...

With the number of credit card transactions rapidly increasingly by the day, one University of Ottawa student is doing what ...

Internet security was one of the first areas where machine learning (ML) was applied. Last year, I talked about how security in banking facilities is being enhanced with ML. Moving up to the wider ...

Deep learning, a subset of machine learning represents the next stage of development for AI. By using artificial neural networks that act very much like a human brain, machines can take data in ...

Figure 1: Workflow of a Machine Learning Project Building an Observable ML Pipeline This article will demonstrate an ML pipeline and its observability for real-world credit card fraud detection.