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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the training phase in AI involve?
💡 Hint: Think of what the model needs to learn.
Question 2
Easy
Why is testing important for an AI model?
💡 Hint: Consider the consequences of not testing.
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 the purpose of training in machine learning?
💡 Hint: Consider what happens during the training phase.
Question 2
True or False: Testing is performed using the same data as training.
💡 Hint: Think about the purpose of testing.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
You have trained a model to recognize cats and dogs. During testing, it performs poorly. Discuss the possible reasons and suggest solutions.
💡 Hint: Consider what makes models successful over a diverse range of inputs.
Question 2
Analyze the impact of using highly biased training data on the final model's performance.
💡 Hint: Think about how bias can skew understanding.
Challenge and get performance evaluation