Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large ...

A few nights ago, a former salesperson of mine who now manages a team called for advice. He said his new sales hire was having a difficult time getting meetings. I said, "Welcome to the club." He then ...

Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...

Artificial intelligence (AI) and machine learning (ML) are not just practical tools for improving efficiency, but also a source of empowerment for business leaders. They can now make decisions with a ...