Machine Learning

Business analytics is application of knowledge, skills, and methods for using data, statistical analysis, quantitative approaches, and predictive modeling to enable data-driven decision making, innovation, and leadership in organizations.

Machine learning refers to the construction and implementation of complex models and algorithms designed to facilitate descriptive, predictive, and prescriptive analytics.

Machine learning tasks are classified into two broad classes, supervised and unsupervised learning, depending on the feedback available to a learning system:

Several categories of machine learning tasks result from the targeted output of the inquiry :

• Classification and regression in supervised learning environments
• Clustering, density estimation and dimensionality reduction in unsupervised learning environments.

Machine learning is a cornerstone of the Institute's research agenda, as well as its Masterclass, Summer School and Executive Education modules.