5 Questions
What are the problems with traditional programming paradigm?
Complexity - too many rules, very hard to cover all aspects of the problem. Static - cannot adapt to new input, need to keep writing new rules, very hard to maintain.
What is the machine learning framework?
Instead of handcrafting rules, machine learning learns a model from training samples (data).
What are the steps in the machine learning framework?
Deploy, Collect data, Study the problem, Training algorithm, ML Model, Evaluate Solution, Analyze errors.
What is machine learning?
Machine learning is a field of study that gives computers the ability to learn from data and improve performance without being explicitly programmed.
What is the purpose of training samples in machine learning?
Training samples are used to train the machine learning algorithm and learn a model from the data.
Test your knowledge on the fundamentals of machine learning with this quiz! Learn about the types of machine learning, challenges in the field, and the machine learning framework. Explore the problems with traditional programming and how machine learning solves them. Brush up on your understanding of artificial intelligence techniques in this unit.
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