Machine Learning Fundamental Concepts Exercises (Part 2)
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Question 1 of 6
1. Question
Match the machine learning type terms to their definitions:
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- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
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Humans provide labeled examples that the machine learns from (“learn from experience”)
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Machine figures out correlations of data on its own (“learn through discovery”)
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Machines use experiences, reward, and goals to iterate to the right outcome (“learn through trial and error”)
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Question 2 of 6
2. Question
What do you call the output generated when you train an ML algorithm with your training data-set for a particular learning problem?
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Question 3 of 6
3. Question
What is it that we want out of the model and the algorithm? Select all that apply.
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Question 4 of 6
4. Question
What are the three kinds of machine learning?
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Question 5 of 6
5. Question
What is classification?
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Question 6 of 6
6. Question
Which kind of learning is best suited for classification
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