It is important that you know the difference between these options and choose a statistical test that is most suitable for your data. This video explains how to use the SPSS chart editor to adjust the ...

This course aims to provide an introduction to the quantitative analysis of data, blending classical statistical methods with recent advances in computational and machine learning. You will cover key ...

Looking for a way to address barriers to statistical literacy and help students reach their statistical potential? This piece offers a psychosocial approach to teaching statistics to promote deeper ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

This course will start from the classical statistical methodology of linear regression and then build on this framework to provide an introduction to machine learning and data mining methods from a ...

Equally important to machine learning are computing power and the data collected from our increasingly networked world. The Center for Optimization and Statistical Learning (OSL) integrates these ...

He is the author of Introduction to Statistical Methods for Biosurveillance (2013) and with Steve Rigdon, Monitoring the Health of Populations by Tracking Disease Outbreaks (2020). He is a fellow of ...

Zdeborová now leads the Statistical Physics of Computation Laboratory at the Swiss Federal Institute of Technology Lausanne.

In this course, you will use the industry standard statistical software - R, allowing you to integrate your learning into your field of work ... on undergraduate and postgraduate taught programmes ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...