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Feb 1, 2026
Study Guide: Machine Learning Fundamentals1. What is Machine Learning?Definition: A subset of AI where systems learn from data without being explicitly programmed.
Memory Aid: Think of ML like teaching a dog tricks — you show examples (data), reward correct behavior (training), and eventually, it figures out what you want without step-by-step instructions.
Flashcard 1 ⭐⭐⭐ MUST KNOWFront: What's the difference between supervised and unsupervised learning?
Back: Supervised = labeled data (you provide answers). Unsupervised = unlabeled data (algorithm finds patterns). Example: Supervised = spam detection (you label emails). Unsupervised = customer segmentation (algorithm groups similar customers).
Practice QuizQ1 (Multiple Choice): Which algorithm would be BEST for predicting house prices?...Replace the highlighted parts with your own information.
[SUBJECT]Subject area
Example: Computer Science
[TOPIC]Specific topic
Example: Machine Learning fundamentals
[LEVEL]Education level
Example: Undergraduate, 3rd year
[EXAM]Type of exam
Example: Multiple choice + short answer, 2 hours
[MATERIAL]Source material
Example: (Paste lecture notes or textbook section)
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