A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

A pretrained artificial intelligence model demonstrates a high sensitivity in detecting pancreatic cancer on CT scans, a new study finds.

How Netflix’s Landmark TF1 Deal in France Sets the Stage for a New Streaming-Linear TV Model Pro The streamer’s shift from “anti-cable” disrupter to a linear TV aggregator could create a ...

A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of predictive ...

Trained on China's largest multiparametric MRI (mpMRI) breast cancer dataset, MOME achieves expert-level accuracy in classifying tumor malignancy, comparable to that of radiologists with five+ ...

Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy ...

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

Interestingly, Microsoft's Aurora AI model promises accurate 10-day forecasts at smaller scales than other models.

Our five-protein model predicted liver disease with strong accuracy, not just in the short-term, but over many years.” ...

Mansueto pointed to a recent study in which Vals AI, a startup he advises, examined the accuracy of financial analysis performed by more than 20 AI models.