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 practical applications, we can also choose appropriate feature transformation techniques according to the needs of specific tasks and combine them with machine learning algorithms for training ...

Expanded machine learning – In Stata 19, you can build high-performance predictive models with the all-new H2OML suite of commands.

As data volumes surge across every industry and machine learning tools become more accessible, predictive analytics is evolving from a niche discipline into a cornerstone of application innovation.

Machine learning engineers like Vivek Govindan drive digital transformation in this constantly changing industry, using AI to enhance efficiency, gain insights, and create value.