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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is representation learning?
π‘ Hint: Think about automation in ML tasks.
Question 2
Easy
Define structured prediction.
π‘ Hint: Consider tasks like NLP where context matters.
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 primary goal of representation learning?
π‘ Hint: Think about what representation learning aims to improve.
Question 2
True or False: Structured prediction can handle outputs that are independent of each other.
π‘ Hint: Reflect on the definition of structured outputs.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Propose an advanced scenario where representation learning could significantly enhance feature extraction for a given unstructured dataset, and justify your reasoning.
π‘ Hint: Consider the variety in unstructured data like text and images.
Question 2
Design a structured prediction model for a health diagnosis system where outputs are dependent on patient symptoms and historical data. Outline key model components and rationale.
π‘ Hint: Think about the interconnectedness of symptoms and diseases.
Challenge and get performance evaluation