How to Study Machine Learning Algorithms

Last Updated on August 12, 2019

Algorithms make up a big part of machine learning.

You select and apply machine learning algorithms to build a model from your data, select features, combine the predictions from multiple models and even evaluate the capabilities of a given model.

In this post you will review 5 different approaches that you can use to study machine learning algorithms.

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1. List Machine Learning Algorithms

There are a lot of machine learning algorithms and it can feel overwhelming.

Even defining what a machine learning algorithm is, can be tricky.

A great place to start out is to make your own lists of algorithms. Start a text file, word document or spreadsheet and list algorithm names. Also list the general category or categories to which each algorithm belongs.

This simple tactic can help
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