Lecture 6 Decision Tree Learning As discussed in the last lecture, the representation scheme we choose to represent our learned solutions and the way in which we learn those solutions are the most ...

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 ...

Concepts and algorithms of machine learning including version-spaces, decision trees, instance-based learning, networks, evolutionary computation, Bayesian learning and reinforcement learning.

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

When we examine Machine L earning vs. Deep L earning vs. Artificial Intelligence, the nuances and opportunities become clear.

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