After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

Using a decision tree classifier from a machine learning library is often awkward because it usually must be customized and library decision trees have many complex supporting functions, says resident ...

Engineers will continue to apply machine learning and deep learning, seeing where it can take them in terms of yield improvements and process control, but they are just one tool in the toolbox.” ...

“Decision trees, random forests, and other like classifiers can act to reduce load and discrepancy on the deep-learning classifier,” said Mike McIntyre, director of software product management at Onto ...

For example, if you’re problem can be solved with a simple decision tree or regression model, there’s no point in using deep learning. Lones also warns against trying to reinvent the wheel.

Decision trees, Lynch explained, are machine learning algorithms that create chains of binary decisions to help distinguish groups from one another.

Learn about types of machine learning and take inspiration from seven real world examples and eight examples directly applied to SEO.

Machine learning can be leveraged to ensure personalized experiences and product recommendations, but decision and process automation that implements a retailer’s business goals, policies, and ...