Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Humanities students can now enter data science and AI without an engineering degree. Here’s a clear roadmap to start your tech journey ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Corey Schafer’s YouTube channel is a go-to for clear, in-depth video tutorials covering a wide range of Python topics. The ...

Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A first look at Making AI Work, MIT Technology Review’s new AI newsletter Are you interested in learning more about the ways in which AI is actually being used? We’ve launched a new weekly newsletter ...

Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...

Technical trading uses historical data patterns to forecast stock trends. Learn about techniques like momentum and trend ...

Learn how to build a standard deviation function in VPython with this step-by-step web tutorial! Perfect for coding, data analysis, and physics simulations. #VPython #PythonTutorial #StandardDeviation ...

aSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia bThe Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia ...

PyPLUTO is a Python library which loads and plots the data obtain from the PLUTO code simulations. The aim of this package is to simplify some non-trivial python routines in order to quickly recover ...