How To Investigate Machine Learning Algorithm Behavior

Last Updated on December 13, 2019

Machine learning algorithms are complex systems that require study to understand.

Static descriptions of machine learning algorithms are a good starting point, but are insufficient to get a feeling for how the algorithm behaves. You need to see the algorithm in action.

Experimenting on a running machine learning algorithms will allow you to build an intuition for the cause and effect relationship of the algorithm parameters with the results you can achieve on different classes of problem.

In this post you will discover how to investigate a machine learning algorithm. You will learn about a simple 5-step process that you can use today to design and complete your first machine learning algorithm experiment.

You will discover that machine learning experiments are not just for academics, that you can do them to, and that experimentation is required on the path to mastery as the empirical cause-and-effect knowledge that you will gain is simply not available anywhere else.

Kick-start your project with my new book Master Machine Learning Algorithms, including step-by-step tutorials and the Excel Spreadsheet files for all examples.