All Machine Learning Algorithms You Should Know for 2023

Intuitive explanations of the most popular machine learning models

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For the past few years, I’ve compiled what I believed were the most important machine learning algorithms based on my experiences at work, my conversations with other data scientists, and what I read online.

This year, I want to expand on last year’s article by providing more types of models, as well as more models within each category. Through this, I hope to provide a repository of tools and techniques that you can bookmark so that you can tackle a variety of data science problems!

With that said, let’s dive into six of the most important types of machine learning algorithms:

1. Explanatory algorithms
2. Pattern mining algorithms
3. Ensemble learning algorithms
4. Clustering algorithms
5. Time series algorithms
6. Similarity algorithms

1. Explanatory Algorithms

One of the biggest problems in machine learning is understanding how various models get to their end predictions. We often know the “what” but struggle to explain the “why”.