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NEW QUESTION: 1
A technician receives a report that the pages coming out of a laser printer are smearing when touched. Which of the following components should the technician check FIRST to
resolve this issue?
A. Corona wire
B. Drum
C. Pickup roller
D. Fuser
Answer: D

NEW QUESTION: 2
Support MPLS-TP standard packet switching technology, through statistical multiplexing, etc., can efficiently bear Carrying high-bandwidth data services on highways such as video images and office automation.
A. FALSE
B. TRUE
Answer: B

NEW QUESTION: 3
機械学習のタイプを適切なシナリオに一致させます。
答えるには、適切な機械学習タイプを左側の列から右側のシナリオにドラッグします。
各機械学習タイプは、1回使用することも、複数回使用することも、まったく使用しないこともできます。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation
Box 1: Regression
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Box 2: Classification
Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
Box 3: Clustering
Clustering, in machine learning, is a method of grouping data points into similar clusters. It is also called segmentation.
Over the years, many clustering algorithms have been developed. Almost all clustering algorithms use the features of individual items to find similar items. For example, you might apply clustering to find similar people by demographics. You might use clustering with text analysis to group sentences with similar topics or sentiment.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression