These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

When surgeons remove an aggressive bone tumor from the pelvis, saving a patient's life can mean sacrificing a large portion of the spine and hip. Putting that fragile structure back together in a way ...

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a ...

A wicked problem in strategy is one that defies a straightforward solution. The term is used to describe complex problems that refuse conventional problem-solving ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

This comprehensive course covers the fundamental concepts and practical techniques of Scikit-learn, the essential machine learning library in Python. Learn to build, train, and evaluate machine ...

I am using dockerHDDM (HDDM version 1.0.1RC) and trying to run HDDMRegression for 155 subjects, with 120 trials per subject (two trial types/conditions per subject). This is my regression model and ...