Abstract: Recently developed methods for learning sparse classifiers are among the state-of-the-art in supervised learning. These methods learn classifiers that incorporate weighted sums of basis ...

This project uses machine learning to predict whether a League of Legends team wins or loses based on in-game statistics. The project was completed as part of IBM's Introduction to Neural Networks and ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Abstract: With the explosive growth of data volume and computing capability, federated learning, which involves constructing global models over multiple data islands, has demonstrated its advantages ...

Glucose-to-potassium ratio shows a J-shaped link with AKI after traumatic brain injury, with high levels predicting increased risk.

We evaluated six machine learning models: deep neural network, logistic regression, decision tree, random forest, light gradient boosting machine, and naïve Bayes for predicting postoperative AKI, ...

A groundbreaking new study published in NeuroImage: Reports demonstrates that whole-brain Single Photon Emission Computed ...

Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...