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Questions and Answers
What is machine learning?
What are the three types of machine learning?
What is supervised learning?
What are the two most common supervised machine learning tasks?
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What is unsupervised learning?
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What is reinforcement learning?
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What is regression?
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Study Notes
- Machine learning is the study that gives computers the ability to learn without being explicitly programmed.
- Machine learning is an application of artificial intelligence where a computer/machine learns from past experiences (input data) and makes future predictions.
- Machine learning is categorized into three types: supervised learning, unsupervised learning, and reinforcement learning.
- Supervised learning is when the machine experiences the examples along with the labels or targets for each example.
- Two of the most common supervised machine learning tasks are classification and regression.
- Unsupervised learning is when the system attempts to uncover patterns from unclassified and unlabeled data.
- Reinforcement learning refers to goal-oriented algorithms, which learn how to attain a complex objective or maximize along a particular dimension over many steps.
- Regression is a technique used to predict the value of a response (dependent) variables, from one or more predictor (independent) variables.
- The most commonly used regressions techniques are linear regression and logistic regression.
- Mean squared error is a popular way of measuring model performance.
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Description
Test your knowledge on machine learning and its various techniques with this quiz! From supervised and unsupervised learning to regression and mean squared error, this quiz covers key concepts and terminology in the field of machine learning. Whether you're a beginner or an expert, challenge yourself with this quiz and see how much you really know about this exciting field.
