Practice - Optimization Methods
Practice Questions
Test your understanding with targeted questions
What is an objective function?
💡 Hint: Think of it as a measure of model performance.
Name one loss function used in regression tasks.
💡 Hint: What do we measure in regression?
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is an objective function?
💡 Hint: Think about its role in optimization.
True or False: Gradient Descent guarantees a global minimum in all cases.
💡 Hint: Consider the types of functions.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
An algorithm suffers from overfitting. How would you apply L1 or L2 regularization to mitigate this issue? Provide a practical coding example.
💡 Hint: Think about how regularization interacts with coefficients.
You are tasked with optimizing a neural network with high variance in results. Discuss which hyperparameter tuning techniques could you implement and justify your choices.
💡 Hint: Consider how much time you can allocate for tuning.
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Reference links
Supplementary resources to enhance your learning experience.