Researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are easier for decision-makers to understand. Explanation methods ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

With so many books and online courses on data science and machine learning, it’s very hard to navigate your way and find the best resource to take the next step in honing your artificial intelligence ...

How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of ...

Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model contribute to its prediction. For example, if a model ...