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# Era of AI: Basics of Machine Learning

**[Medium](https://daily.dev/sources/medium_js)** · 3 min read · 1 upvotes · 0 comments

## Summary

A beginner-level introduction to machine learning covering the four main categories: supervised learning, unsupervised learning, recommender systems, and reinforcement learning. Explains regression and classification algorithms with real-world examples like spam detection, fraud detection, and Google Lens. Briefly touches on unsupervised learning and clustering.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@kadwadeshivam/era-of-ai-basics-of-machine-learning-339ba1cbf85a>

---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#classification](https://daily.dev/tags/classification), [#unsupervised-learning](https://daily.dev/tags/unsupervised-learning)

[View this post on daily.dev](https://daily.dev/posts/era-of-ai-basics-of-machine-learning-vaqbrgd4i)

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