A massive data breach of the Instructure Canvas learning system hit UC, CSU, USC, Stanford and Los Angeles community colleges ...

From STAT 350 coursework to Python’s built-in statistics module, there’s a world of tools to help you understand data, probability, and inference. Whether you’re tackling descriptive stats, hypothesis ...

Abstract: The debiased estimator is a crucial tool in statistical inference for high-dimensional model parameters. However, constructing such an estimator involves estimating the high-dimensional ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup, which specializes in chips that power artificial-intelligence ...

Branson, Z., Paz Parra, M., & Yurko, R. (2025). The Landscape of College-Level Data Visualization Courses, and the Benefits of Incorporating Statistical Thinking. Journal of Statistics and Data ...

It’s getting tougher to assess how much university students have learnt. In his work as a Mathematical Statistics lecturer, Michael von Maltitz has tried a new way of getting students to learn, and of ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

be able to use counterfactuals to express and interpret causal queries; be able to judge when standard statistical methodology is appropriate for causal inference, and when it is not; be able to use ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...