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title: All Machine Learning algorithms explained in 17 min
description: Tim, a data scientist with over 10 years of experience, offers an intuitive overview of critical machine learning algorithms to help you choose the right one...
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# All Machine Learning algorithms explained in 17 min

**[YouTube](https://daily.dev/sources/youtube)** · 16 min read · 209 upvotes · 3 comments

## Summary

Tim, a data scientist with over 10 years of experience, offers an intuitive overview of critical machine learning algorithms to help you choose the right one for your problem. The post covers supervised learning (like regression and classification), unsupervised learning (like clustering), and dives into specific algorithms such as linear regression, logistic regression, K-nearest neighbors (KNN), support vector machine (SVM), naive Bayes classifier, decision trees, random forests, boosting, neural networks, and dimensionality reduction. Each algorithm is explained with examples to build an intuitive understanding of their functions and applications.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=E0Hmnixke2g>

## Community discussion

Top comments from developers on daily.dev.

**@nicholaspoon** · 1 upvotes

> That tough luck at the end 💀

**@giriselvansridhar** · 1 upvotes

> Thank you

---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#neural-networks](https://daily.dev/tags/neural-networks), [#unsupervised-learning](https://daily.dev/tags/unsupervised-learning)

[View this post on daily.dev](https://daily.dev/posts/all-machine-learning-algorithms-explained-in-17-min-aljzmzxxg)

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