Practice Sequence Models & Recommender Systems (7.1) - Advanced ML Topics & Ethical Considerations (Weeks 13)
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Sequence Models & Recommender Systems

Practice - Sequence Models & Recommender Systems

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the primary purpose of RNNs in machine learning?

💡 Hint: Think about data types that have an order.

Question 2 Easy

What does LSTM stand for?

💡 Hint: It’s a type of network designed to solve a specific problem with RNNs.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main function of RNNs?

To process images
To handle sequential data
To optimize algorithms

💡 Hint: Recall the types of data RNNs can work with.

Question 2

True or False: LSTMs can completely eliminate the exploding gradient problem.

True
False

💡 Hint: Think about the limitations of LSTMs.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Analyze a dataset of movie ratings and explain how you would implement a recommender system using both content-based and collaborative filtering methods. What would be your approach and challenges?

💡 Hint: Consider data sparsity and how to fill in gaps.

Challenge 2 Hard

Devise an example demonstrating the use of the Apriori algorithm with a transaction dataset involving purchases. Discuss how you'd proceed step by step.

💡 Hint: Think about how you could visualize each step to ensure clarity.

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