This course will introduce machine learning (ML) concepts, with a heavy focus on business applications. The course will look in'depth at all three types of ML: supervised Last (including classification and deep learning), unsupervised (including association rule learning and dimensionality reduction), and reinforcement learning. The course will survey key technologies and applications that are driving the ML revolution. The course will include some theoretical background, but will be application'focused. The overall goal of the course is to provide a foundation and framework for understanding how to use machine-learning models in data'driven decision making. On completion of this course, students will able to frame various classes of business problems as ML problems. Students will understand which ML model to use for a given problem, how to use the model, how to evaluate the model, and how to deploy the model. The course will include a group project that will provide an opportunity to apply various ML models to a real world business dataset.
This course will introduce machine learning (ML) concepts, with a heavy focus on business applications. The course will look in'depth at all three types of ML: supervised Last (including classification and deep learning), unsupervised (including association rule learning and dimensionality reduction), and reinforcement learning. The course will survey key technologies and applications that are driving the ML revolution. The course will include some theoretical background, but will be application'focused. The overall goal of the course is to provide a foundation and framework for understanding how to use machine-learning models in data'driven decision making. On completion of this course, students will able to frame various classes of business problems as ML problems. Students will understand which ML model to use for a given problem, how to use the model, how to evaluate the model, and how to deploy the model. The course will include a group project that will provide an opportunity to apply various ML models to a real world business dataset.
