Optimizing Machine Learning Performance

This course combines all of the knowledge gained through the applied machine learning specialization. This course will guide you through the creation of a machine-learning maintenance program and walk you through a complete project in machine learning. This course will show you how to handle changing data and how it can be analyzed. Your project will identify and interpret unintended consequences. Once you have established the procedures, your machine learning model can then be implemented and maintained. This course will equip you with the knowledge and skills to implement machine-learning projects in your company, making them more efficient.

A basic knowledge of Python programming is essential to be successful. This includes being able to trace and code existing codes, and read and write loops and conditionals. It is important to understand linear algebra (vectornotation) and statistics (probability/mean/median/mode).

This is the final course in the Applied Machine Learning Specialization. This course was offered by Coursera & Alberta Machine Intelligence Institute.