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

The time-tested technique for predicting numbers, and the role of domain knowledge in machine learning.

Feature engineering involves systematically transforming raw data into meaningful and informative features (predictors). It is an indispensable process in machine learning and data science. This ...

In materials science, substances are often classified based on defining factors such as their elemental composition or ...

In machine learning and pattern recognition, a feature is an individual measurable heuristic property of a phenomenon being observed. Choosing discriminating and independent features is key to any ...

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

Discover the power of machine learning to analyze and make predictions on huge data, improve decision-making and enhance automation processes.

Using machine learning to analyze a large amount of data from pre-existing studies bypasses these problems. The researchers looked at variables that could predict happiness within a relationship.