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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does Machine Learning do?
💡 Hint: Think about how computers improve over time.
Question 2
Easy
Name one algorithm used in Machine Learning.
💡 Hint: You learned of these in class discussions.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is Machine Learning primarily used for?
💡 Hint: Remember the definition discussed in class.
Question 2
True or False: Dynamic updates are irrelevant in hydrological models.
💡 Hint: Consider examples we went over in class.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
How would you implement a Neural Network to predict IDF curves given a dataset? Discuss architecture and input features.
💡 Hint: Consider the types of data you need to input and how layers function in a network.
Question 2
Discuss the implications of using outdated IDF curves in urban areas prone to climate variability.
💡 Hint: Reflect on what could happen if designs don't match current data.
Challenge and get performance evaluation