Machine learning (ML) data can be represented in the following forms:
1. Matrix and Spatial.
2. Scalar and Vector.
Machine learning (ML) is also referred to as Artificial intelligence (AI) and it can be defined as a subfield in computer science which is focused on the use of computer algorithms to build a smart computer-controlled robot that has the ability (capacity) to automatically perform and handle tasks that are exclusively designed to be performed by humans or by using human intelligence.
Generally, the data that are generated and used in machine learning (ML) can be represented in the following forms:
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The main component and key to success to Reaganomics was reduction in government spending.
<h3>What is Reaganomics?</h3>
This is the term that is used to refer to the government and the economic policies of Ronald Reagan. The purpose of the policy was to help to stimulate the United States government. The policy was contractionary in nature.
He advocated for a reduction in the way that government spent money, reduced taxes and also for less government regulations in businesses.
The result of this policy was that he helped to ensure that poverty was reduced in the country. Although it raised the levels of income inequality also in the nation.
Economics have stated that the policies of this president helped the nation to achieve great long time economic expansion.
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Answer: Orion Arm
Explanation:
We live in a seemingly nondescript neighborhood in the Milky Way galaxy, in a small spiral arm called the Orion Arm.
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the answer is D.
In only polling people in Arizona, you aren't taking a representative sample of the total population. You want to represent all *U.S.* adults.
What if people from Arizona spend proportionally more (or less) than the rest of the nation?
