Take Control By Creating Targeted Lists of Machine Learning Algorithms

Last Updated on August 12, 2019

Any book on machine learning will list and describe dozens of machine learning algorithms.

Once you start using tools and libraries you will discover dozens more. This can really wear you down, if you think you need to know about every possible algorithm out there.

A simple trick to tackle this feeling and take some control back is to make lists of machine learning algorithms.

This ridiculously simple tactic can give you a lot of power. You can use it to give you a list of methods to try when tackling a whole new class of problem. It can also give you a list of ideas when you get stuck on a dataset or your favorite method does not give you good results.

In this post you will discover the benefits of creating lists of machine learning algorithms, how to do it, how to do it well and why you should start creating your first list of algorithms today.

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.