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# From Ancient Greeks to Modern Geeks - Basic Machine Learning Algorithms - Simon Painter

**[NDC Conferences](https://daily.dev/sources/ndc)** · 45 min read · 0 upvotes · 0 comments

## Summary

Basic machine learning algorithms are explained through playful examples including Super Top Trumps, Pokémon data, and Guess Who. The talk covers fundamental statistical concepts (mean, median, mode, standard deviation), correlation analysis, linear and logistic regression, Naive Bayes classification, k-nearest neighbors, and decision trees. Each algorithm is demonstrated with practical examples and mathematical formulas, emphasizing that machine learning is fundamentally statistics executed by computers. The presentation uses Excel for demonstrations and connects ancient Greek philosophical problems (like the Sorites paradox) to modern classification challenges.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=4aB7yJvheJE>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#data-science](https://daily.dev/tags/data-science), [#algorithms](https://daily.dev/tags/algorithms), [#statistics](https://daily.dev/tags/statistics)

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