A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

The alternating decision tree learning algorithm. in Proceedings of the 16th International Conference on Machine Learning, (eds. Bratko, I. & Džeroski, S.) 124–133 (Morgan Kaufmann, San ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Fig. 1: A simple decision-tree example. Source: Wikipedia. Unlike conventional neural nets, decision trees don’t extract features from the data. So-called “feature engineering” is done by the ...

Machine learning is useful in parsing the immense amount of information that is consistently and readily available in the world to assist in decision making. Machine learning can be applied in a ...

Big Blue's quantum team has mathematically demonstrated that a quantum algorithm could work better than a classical one for machine-learning classification problems. Written by Daphne Leprince ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...