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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is modeling in the context of AI?
💡 Hint: Think about how we teach a model with examples.
Question 2
Easy
Define supervised learning.
💡 Hint: Consider how we categorize items with known labels.
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 tool is used to visualize the performance of AI models?
💡 Hint: Think about how we check if predictions match actual outcomes.
Question 2
True or False: Supervised learning uncovers patterns from unlabeled data.
💡 Hint: Remember the definition of supervised vs unsupervised.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Analyze a dataset of credit card transactions to identify fraudulent activities. Explain your approach and the tools you would use.
💡 Hint: Think about how data patterns can impact your classification.
Question 2
Design an AI model for customer segmentation using unsupervised learning. What challenges might you face?
💡 Hint: Consider the implications of data quality on clustering.
Challenge and get performance evaluation