42820 Machine Learning Foundations2cp
Anti-requisite(s): 31250 Introduction to Data Analytics AND 32130 Fundamentals of Data Analytics
This microcredential introduces the essential elements of machine learning - a technique that enables a machine to learn from data to automatically derive or enhance its strategy to perform its tasks. Taking a research-inspired approach, the microcredential guides learners to apply state-of-the-art algorithms to their professional practice with a focus on practical applications. The microcredential presents learners with core concepts in machine learning as well as a generic framework. Basic learning models, including decision trees and linear families, demonstrate the theory of machine learning. These models are also widely applied in real-world applications.
Detailed subject description.