• Unit 4: Learning

    This unit presents an artificial neural network (NN) as the most important learning tool for machine learning. Machine learning research tries to automatically extract information from data through computational and statistical methods. Machine learning is closely related to not only data mining and statistics, but also theoretical computer science. NN is a computational model based on biological neural networks. It consists of an interconnected group of artificial neurons and processes. Practically, neural networks are non-linear statistical data modeling tools used to model complex relationships between inputs and outputs. After being successfully trained, NNs are able to perform classification, estimation, prediction, or simulation with new data. The second part of this unit reviews the Gaussian and Bayesian processes used in machine learning.

    Completing this unit should take you approximately 35 hours.