Practice Introduction To Machine Learning (6.1) - Machine Learning Basics

Practice: Introduction to Machine Learning

Lesson 6.1Machine Learning Basics

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9 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is Machine Learning?
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Think about how computers can learn over time.
Question 2.
Name one application of Machine Learning.
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What about the way your phone understands your voice?
3Question 3.
What is the main purpose of Machine Learning?
- To program systems with static rules
- To enable systems to learn from data
- To analyze data in a fixed manner
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Consider the flexibility of learning versus static programming.
4Question 4.
True or False: Predictions in Machine Learning can only be made from labeled data.
- True
- False
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Think about the flexibility of how data can be used.
Question 5.
Propose a machine learning application for healthcare and describe the key components involved in developing the system.
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Think about what type of data is commonly used in patient diagnostics.
Question 6.
Imagine you need to create a model that predicts house prices based on various factors (location, size, etc.). Discuss how data, models, and learning algorithms will be utilized.
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Consider how trends in your data can help make pricing decisions.

5 more questions in this section. Enroll free to practise them all.