Machine Learning — definition?
Computers learn from data to make decisions.
Machine Learning — definition?
Subset of AI enabling data-driven decisions.
Milestone — Perceptron?
An early neural network model for binary classification.
Algorithm — role?
Analyzes data and finds patterns.
Supervised Learning — role?
Uses labeled data to train predictive models.
Model — what?
Representation trained to make predictions.
Features — examples?
Input variables like age, income.
Labels — role?
Target outputs like spam/not spam.
Training Data — purpose?
Teaches the model through examples.
Overfitting — what?
Model learns noise, poor generalization.
Test your knowledge with 10 questions on Introduction to Machine Learning.
1. What is machine learning primarily defined as?
2. What is the primary purpose of an algorithm in machine learning?
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