Machine learning, or ML, is growing in importance for enterprises that want to use their data to improve their customer experience, develop better products and more. But before an enterprise can ...

The full lifecycle of machine learning model development includes aspects of data preparation and engineering, machine learning model iteration including the use of “AutoML” to automatically ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

The Data Science Lab. Data Prep for Machine Learning: Encoding. Dr. James McCaffrey of Microsoft Research uses a full code program and screenshots to explain how to programmatically encode categorical ...

Haewon Jeong, an assistant professor in UC Santa Barbara’s Electrical and Computer Engineering (ECE) Department, experienced a pivotal moment in her academic career when she was a postdoctoral fellow ...