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Supervised learning made easy: Real-world example explained

MSNLearn With Jay

Supervised learning made easy: Real-world example explained

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns from the labelled data. A data which has a particular label or value assigned to it, is a labelled data. As we are already providing the right ...

Types of Machine Learning (ML) Systems: 1. Based on Learning Style: a. Supervised Learning Learns from labeled data. Goal: Predict output for new inputs. Common tasks: Classification, Regression. Examples: Linear Regression, Decision Trees, SVM. b. Unsupervised Learning Learns from unlabeled data. Goal: Discover hidden patterns. Common tasks: Clustering, Dimensionality Reduction. Examples: K-Means, PCA, DBSCAN. c. Semi-Supervised Learning Uses a small amount of labeled data large unlabeled data.

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Types of Machine Learning (ML) Systems: 1. Based on Learning Style: a.

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🎯 الفرق بين Supervised وUnsupervised وReinforcement Learning في تعلم الآلة ✨ تعلم الآلة (Machine Learning) هو الأساس الذي يُبنى عليه الذكاء الاصطناعي الحديث، وينقسم إلى 3 أنواع رئيسية، كل نوع له طريقته في "التعلم" من البيانات👇 --- 🔹 1️⃣ Supervised Learning (التعلم الموجّه) النموذج يتعلّم من بيانات معلّمة (مدخلات نتائج صحيحة). يُستخدم في: 🔸 Classification: مثل تصنيف البريد الإلكتروني Spam / Not Spam 🔸 Regression: مثل التنبؤ بأسعار العقارات 🧠 من أشهر الخوارزميات: Logistic Regression – Random

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🎯 الفرق بين Supervised وUnsupervised وReinforcement Learning في

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