Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning can ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

An “overfitted” model fits its training examples so snugly that it can’t reliably generalize, like a cat-recognizing system that fails when a photo is turned upside-down. Biases in data can be ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align ...

Machine learning models are generally evaluated based on predictive accuracy metrics such as precision, recall, and F1 score. ... Other leading examples are tools like DALL-E, ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

For engineers interested in cloud-based machine learning, this Nanodegree program is ideal. It focuses on Amazon Web Services (AWS) and covers topics like data wrangling, model building, and ...