Machine Learning for Information Technology Professionals

Catalog description

Introduces the concepts of Machine Learning. Topics include supervised and unsupervised machine learning algorithms. Methods covered are linear and logistic regression, support vector machines, nearest neighbor, decision tree, hierarchical and neural network. We will also cover techniques for optimization, such as gradient and coordinate matrix.