Hence, descriptive statistics are factual, while inferential statistics involve uncertainty and probability. The use of descriptive statistics in Machine Learning (ML) is not hard to understand.

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction. This approach has the ...

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

Data Science at Statistics Canada: Successes and Outstanding Challenges Wesley Yung * 1 Abstract The use of Data Science in Official Statistics has been a hot topic for several years and National ...

Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk prediction models have been ...

ROURKELA: A research team from the Civil Engineering department of the National Institute of Technology-Rourkela (NIT-R) has successfully used machine learning ...

In addition to machine learning, expanded statistical areas include causal inference with the support of conditional average treatment effects (CATEs), panel data with high-dimensional fixed ...