5 Ways To Understand Machine Learning Algorithms (without math)

Last Updated on August 12, 2019

Where does theory fit into a top-down approach to studying machine learning?

In the traditional approach to teaching machine learning, theory comes first requiring an extensive background in mathematics to be able to understand it. In my approach to teaching machine learning, I start with teaching you how to work problems end-to-end and deliver results.

So where does the theory fit?

In this post you will discover what we really mean when we talk about “theory” in machine learning. Hint: it’s all about the algorithms.

You will discover that once you get skilled at working through problems and delivering results, you will develop a compulsion to dive deeper in order to better understanding and results. Nobody will be able to hold you back.

Finally, you will discover 5 techniques that you can use when you are practicing machine learning on standard datasets to incrementally build up your understanding of machine learning algorithms.

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.

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