AI-based demand forecasting creates planning reliability in the textile industry

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...
CNETOpinion

Prediction Markets Let You Bet on Anything. That's a Problem

You may have even been tempted yourself to put down cash on your favorite pop-culture hunch. But the recent Google case ...

British Police Built a Sprawling Crime-Prediction Machine. Some Results Couldn’t Be Trusted

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
cmu.edu

Machine Learning & Data Science

Machine Learning now shapes how decisions are made, systems are built, and how work gets done. Building real understanding means learning the fundamentals from the faculty at the School of Computer ...
GitHub

pyEM: Expectation Maximization with MAP estimation in Python

If you use these materials for teaching or research, please use the following citation: Rhoads, S. A. (2023). pyEM: Expectation Maximization with MAP estimation in ...
ahajournals.org

Prediction of Venous Thromboembolism in Diverse Populations Using Machine Learning and Structured Electronic Health Records

Venous thromboembolism (VTE) is a major cause of morbidity and mortality worldwide. Current risk assessment tools, such as the Caprini and Padua scores and Wells criteria, have limitations in their ...
Visual Studio Magazine

Binary Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions

Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it to make predictions and save it for use by other programs. This is the second of two articles ...
Frontiers

Evaluating dimensionality reduction for genomic prediction

The development of genomic selection (GS) methods has allowed plant breeding programs to select favorable lines using genomic data before performing field trials. Improvements in genotyping technology ...