Recall & Review
beginner
What is anomaly detection in simple terms?
Anomaly detection is finding things that are very different from normal or usual patterns in data, like spotting a strange sound in a quiet room.
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beginner
Name two common types of anomalies.
Point anomalies (single unusual data points) and contextual anomalies (unusual data points depending on context, like a cold day in summer).
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beginner
Why is anomaly detection important in real life?
It helps find problems early, like fraud in banking, faults in machines, or unusual health signs, so we can fix them quickly.
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beginner
What is a simple method to detect anomalies?
Using a threshold on data values, for example, if temperature is usually between 20-25°C, anything above 30°C might be an anomaly.
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beginner
What role does machine learning play in anomaly detection?
Machine learning helps by learning normal patterns from data automatically and then spotting data points that don’t fit those patterns.
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What is an anomaly in data?
Which of these is an example of a contextual anomaly?
Why do we use anomaly detection in fraud detection?
Which method is simplest for detecting anomalies?
Machine learning helps anomaly detection by:
Explain what anomaly detection is and why it is useful in everyday life.
Describe two types of anomalies and give a simple example for each.