ALL ABOUT AI

📰 Medium · Machine Learning

Learn the basics of supervised and unsupervised learning in AI and how they work

beginner Published 18 Jun 2026
Action Steps
  1. Learn about supervised learning using labelled data to train models
  2. Understand how supervised learning works through analogies like a student studying with a teacher
  3. Explore common tasks in supervised learning like classification and regression
  4. Discover unsupervised learning and its application to unlabeled data
  5. Apply supervised and unsupervised learning to real-world problems like image classification and customer segmentation
Who Needs to Know This

Data scientists and machine learning engineers can benefit from understanding these fundamental concepts to build and train accurate models

Key Insight

💡 Supervised learning uses labelled data to train models, while unsupervised learning discovers patterns in unlabeled data

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🤖 Learn the basics of #AI: supervised and unsupervised learning! 📊

Key Takeaways

Learn the basics of supervised and unsupervised learning in AI and how they work

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Title: ALL ABOUT AI

URL Source: https://medium.com/@brokenversion11/all-about-ai-d2298e9b5e89?source=rss------machine_learning-5

Published Time: 2026-06-18T03:26:35Z

Markdown Content:
# ALL ABOUT AI. 1. Supervised Learning (The Guided… | by Brokenversion | Jun, 2026 | Medium

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# ALL ABOUT AI

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## 1. Supervised Learning (The Guided Learner)

In supervised learning, the AI learns from **labelled data**. This means for every input, you already know the correct output. You are essentially giving the model an answer key.

## **How it works:** The model makes a prediction, compares it to the correct answer, and adjusts itself until it gets it right.

* **Analogy:** A student studying with a teacher who corrects their practice tests.
* **Common Tasks:**
* **Classification:** Predicting a category (e.g., Is this email “Spam” or “Not Spam”?).
* **Regression:** Predicting a continuous number (e.g., What will the price of a house be based on its size?).

## 2. Unsupervised Learning (The Self-Discoverer)

In unsupervised learning, the AI is given **unlabeled data*
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