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# ML Series #1: What is Machine Learning? A Beginner-Friendly Guide with Real-World Examples

**[Medium](https://daily.dev/sources/medium_js)** · 7 min read · 3 upvotes · 1 comments

## Summary

A beginner-friendly introduction to machine learning written by a developer who built AI applications without understanding the underlying fundamentals. Covers the distinction between AI, ML, and deep learning, explains why ML emerged as an alternative to rule-based programming using spam detection and house price prediction examples, and introduces the three core ingredients of any ML model: data, features, and labels. Sets up a series with deeper dives into ML pipelines, training/testing, and popular algorithms in future parts.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://isharadbharadwaj.medium.com/ml-series-1-what-is-machine-learning-a-beginner-friendly-guide-with-real-world-examples-7823c52b5710>

## Community discussion

Top comments from developers on daily.dev.

**@marinkomijatovic** · 0 upvotes

> A useful reminder that building AI apps is not the same as understanding machine learning—strong fundamentals lead to better models, decisions, and products.

---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#deep-learning](https://daily.dev/tags/deep-learning)

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