VSM Senior Technical Editor Dr. James McCaffrey, of Microsoft Research, explains why inverting a matrix -- one of the more common tasks in data science and machine learning -- is difficult and ...

Matrix decomposition is a mathematical method widely adopted in computer science for its reliability and outstanding performance. It is often chosen for use in the computer vision field, recommender ...

Automating the selection and tuning of machine learning pipelines consisting of data pre-processing methods and machine learning models, has long been one of the goals of the machine learning ...

Lost amongst the hype and hyperbole surrounding machine learning today, especially deep learning, is the critical distinction between correlation and causation.

In my October 2022 article, “How to choose a cloud machine learning platform,” my first guideline for choosing a platform was, “Be close to your data.”Keeping the code near the data is ...

Machine learning (ML) algorithms have been widely deployed in mobile edge computing (MEC). Howerver, algorithms in MEC always demands high computational power to process complex models and large ...

Predict passenger survival on the Titanic using machine learning with the Random Forest algorithm. This project includes data preprocessing, EDA, model training, and evaluation with accuracy, ...