Machine Learning Fundamental Concepts Exercises (Part 1)
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Question 1 of 7
1. Question
What is the definition for machine learning?
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Question 2 of 7
2. Question
Machine learning is not all of AI, but it is a big part of it
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Question 3 of 7
3. Question
What is a machine learning algorithm?
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Question 4 of 7
4. Question
The terms “model” and “algorithm” can be used interchangeably
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Question 5 of 7
5. Question
AI systems are deterministic
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Question 6 of 7
6. Question
What is considered a “quick and simple” approach to a problem?
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Question 7 of 7
7. Question
Match the machine learning concept term to the definition:
Sort elements
- Inference
- Generalization
- Decision Boundary
- Dimension
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Action of using a machine learning system to make predictions on real-world data for a task for which it has been previously trained on with similar data.
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ability for a given model to perform well on new data for a specific task that the model has been trained on.
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The algorithmic line that differentiates data into different logical sections
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The number of different variables (attributes), or types of data, that describe an individual element of data that a machine learning system will have to find patterns on to learn
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