Machine Learning is an application of Artificial Intelligence (AI) that is used to provide various systems with the intelligence of instinctive learning. This application aims to create computer programs that have access to data and use that data to learn.

The six main components that Machine Learning uses to solve problems are:
Feature Extraction + Domain knowledge
Feature Selection
Choice of Algorithm
Training
Choice of Metrics/Evaluation Criteria
Testing

Machine Learning is widely used on the Internet in search engines, email filtering to detect spam, banking software to detect unusual transactions, among others. Future developments of machine learning can significantly impact society with effective assistance in managing their personal lives. It can potentially be very helpful in enhancing healthcare systems, security applications, and transportation systems by using self-operating artificial intelligence systems such as radars, sensors, etc.

Machine Learning courses expose students to a variety of topics such as robotics, linguistics, natural language processing (NLP), computer vision, programming, software design, signalling, processing, speech recognition, and many more. It teaches students how to create self-learning computer systems by using algorithms and statistical models. Students are also taught to have exceptional numeracy, written and verbal communication, analytical skills, innovation and creativity, attention to detail, and the ability to work with large and complex databases.