6.4.1 - What is Bias and Variance?
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Practice Questions
Test your understanding with targeted questions
What is bias in machine learning?
💡 Hint: Think about how assumptions affect a model's performance.
What happens when a model has high variance?
💡 Hint: Consider how a model might react to noise in the dataset.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does high bias in a model lead to?
💡 Hint: Think about what happens when a model doesn't learn enough.
True or False: High variance is always desirable in a model.
💡 Hint: Consider the draw of complexity vs. performance.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You are tasked with building a model to predict sales for a new product. Describe how you would approach addressing both bias and variance in your model design.
💡 Hint: Consider starting with basic features and then introduce new ones carefully.
A model shows excellent training accuracy but poor validation accuracy. Discuss the adjustments you’d implement to address high variance.
💡 Hint: Think about how you can reduce model complexity.
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