Decision Tree Learning. As discussed in the last lecture, ... The following diagram should explain the ID3 algorithm further: 6.3 A worked example. ... As we discussed in the previous lecture, ...

Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ML models.

A random forest (RF) is a kind of an ensemblemachine learning algorithm used for a classification and aregression. It consists of multiple decision trees that are built fromrandomly sampled data. The ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision Trees, Genetic Algorithms, Neural Networks. This ...