The data science industry is booming, valued at $378 billion in 2025, and three key languages are driving its growth: Python, ...

To start writing and running Python programs locally on your device, you must have Python installed and an IDE (Integrated ...

By the end of this book, you will be able to take a large raw dataset, clean it, manipulate it, and run machine learning algorithms to obtain results that influence business decisions. Data Science ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

A new study found that code generated by AI is more likely to contain made-up information that can be used to trick software ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.

A desire to scale his small business led Hoyoung Pak ’00 MBA to Kellogg, where he built a strong foundation in general ...

Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion-large-language-model-based framework that has been improved ...

When machines fall short, we adjust. When students do, we blame. Here's what that says about learning and instruction.