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NEW QUESTION: 1
If you want to create a machine learning model that predicts the price of a particular stock based on its recent price history, what type of estimator should you use?
A. Regressor
B. Unsupervised learning
C. Classifier
D. Clustering estimator
Answer: A
Explanation:
Regression is the supervised learning task for modeling and predicting continuous, numeric variables. Examples include predicting real-estate prices, stock price movements, or student test scores.
Classification is the supervised learning task for modeling and predicting categorical variables. Examples include predicting employee churn, email spam, financial fraud, or student letter grades.
Clustering is an unsupervised learning task for finding natural groupings of observations (i.e. clusters) based on the inherent structure within your dataset. Examples include customer segmentation, grouping similar items in e-commerce, and social network analysis.
Reference: https://elitedatascience.com/machine-learning-algorithms
NEW QUESTION: 2
The left describes the types of cables, while the right describes the purposes of the cables. Drag the items on the left to the proper locations. (Not all items can be used.) Select and Place:
Answer:
Explanation:
Explanation
NEW QUESTION: 3
A newly promoted chief audit executive (CAE) is faced with a backlog of assurance engagement reports to review for approval. In an attempt to attach a priority for this review, the CAE scans the opinion statement on each report. According to IIA guidance, which of the following opinions would receive the lowest review priority?
1.Graded positive opinion.
2.Negative assurance opinion.
3.Limited assurance opinion.
4.Third-party opinion.
A. 2 and 3
B. 2 and 4
C. 1 and 3
D. 1 and 4
Answer: A
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