Machine Learning Test
Machine learning is a field of computer science that focuses on making machines learn. It's also a revolutionary aspect of the science world and as we're all part of that, I wonder how much you know about it.
- 1.
When was the name coined?
- A.
1987
- B.
1959
- C.
1978
- D.
1990
Correct Answer
B. 1959Explanation
The name was coined in 1959.Rate this question:
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- 2.
Who coined the name?
- A.
Arthur Samuel
- B.
Jerry Samuel
- C.
Fredrick Samuel
- D.
Jacob Samuel
Correct Answer
A. Arthur SamuelExplanation
Arthur Samuel is credited with coining the name.Rate this question:
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- 3.
Who provided a formal definition of machine learning?
- A.
Tom A. Mitchell
- B.
Tom M. Mitchell
- C.
Tom K. Mitchell
- D.
Tom J. Mitchell
Correct Answer
B. Tom M. MitchellExplanation
Tom M. Mitchell provided a formal definition of machine learning.Rate this question:
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- 4.
Machine learning is divided into how many categories?
- A.
2
- B.
3
- C.
4
- D.
5
Correct Answer
A. 2Explanation
Machine learning is divided into two main categories: supervised learning and unsupervised learning. In supervised learning, the algorithm is trained on labeled data, where the input and the desired output are provided. The algorithm learns from this data to make predictions or decisions. In unsupervised learning, the algorithm is trained on unlabeled data, where there are no predefined outputs. The algorithm learns patterns and structures in the data to make sense of it. These two categories cover the majority of machine learning techniques and applications.Rate this question:
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- 5.
One of them is?
- A.
Supervised learning
- B.
Semi-supervised learning
- C.
Active learning
- D.
Reinforcement learning
Correct Answer
A. Supervised learningExplanation
Supervised learning is a type of machine learning where the model is trained using labeled data, meaning that the input data is accompanied by the correct output. The model learns from this labeled data to make predictions or classify new, unseen data. In supervised learning, the algorithm learns from a known dataset and tries to generalize the patterns to make accurate predictions on new, unseen data. This is in contrast to other options like semi-supervised learning, active learning, and reinforcement learning, which have different approaches and objectives in training the model.Rate this question:
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- 6.
What's the name of the other category?
- A.
Unsupervised learning
- B.
Semi-supervised learning
- C.
Reinforcement learning
- D.
Active learning
Correct Answer
A. Unsupervised learningExplanation
Unsupervised learning is the correct answer because it refers to a type of machine learning where the algorithm learns patterns and relationships from unlabeled data without any specific guidance or supervision. In this category, the algorithm explores the data and identifies hidden structures or clusters on its own. It is different from supervised learning, where the algorithm learns from labeled data, and reinforcement learning, where the algorithm learns through trial and error with a reward system. Semi-supervised learning and active learning are other categories, but they are not the "other" category mentioned in the question.Rate this question:
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- 7.
Inputs are divided into how many in Classifications?
- A.
2
- B.
3
- C.
4
- D.
5
Correct Answer
A. 2Explanation
The inputs are divided into two classifications.Rate this question:
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- 8.
What happens in clustering?
- A.
An exponential of the inputs is found
- B.
Inputs are multiplied
- C.
Inputs are divided into groups
- D.
Sets are multiplied
Correct Answer
C. Inputs are divided into groupsExplanation
In clustering, the inputs are divided into groups based on their similarities or patterns. This process involves grouping similar data points together and separating them from other dissimilar data points. By dividing the inputs into groups, clustering helps in identifying distinct clusters or categories within a dataset, which can be useful for various purposes such as data analysis, pattern recognition, and decision-making.Rate this question:
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- 9.
What is the nationality of Arthur Samuel?
- A.
London
- B.
America
- C.
Netherlands
- D.
Poland
Correct Answer
B. AmericaExplanation
Arthur Samuel's nationality is America because the question asks for his nationality and America is the only option that represents a nationality.Rate this question:
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- 10.
Where was the name coined?
- A.
IBM
- B.
MIT
- C.
Microsoft
- D.
Google headquarters
Correct Answer
A. IBMExplanation
The name "IBM" was coined at IBM itself.Rate this question:
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Current Version
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Oct 07, 2024Quiz Edited by
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Mar 12, 2018Quiz Created by
Livyn
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