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3 years ago

Information from reputable sources that's accurate, but doesn't support the major claim in a text is called

2 answers:

8 0

B. irrelevant evidence. a claim would be something that hasn’t been proven yet, so if it is accurate according to studies from the source, it just doesn’t matter

Ivenika [448]3 years ago

3 0

The correct answer is B. Irrelevant evidence

Explanation:

In texts, information that is accurate and explains or supports a specific fact or situation is known as evidence, this includes quotations, articles, books, analysis and any other reliable material. Additionally, evidence can be classified as relevant if it helps you to support your major claim or thesis statement or irrelevant if despite being reliable it does not help you to support your claim and therefore is not relevant to include it in your text. For example, if you claim recycling is the best way to solve pollution, information related to how to recycle is irrelevant evidence as this information is valid but does not help you prove the claim. Thus, information from reputable sources that's accurate but doesn't support the major claim is irrelevant evidence.

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Luis repairs air conditioners. He earned a certificate in 6 months and paid for it with one loan. He earns a good salary now and

barxatty [35]

The kind of ROI Luis demonstrates is : Positive ROI

<h3>Positive ROI</h3>

A positive ROI is defined as when the cost of a financial decision/step is lower than the gain of a financial decision.

Luis takes a loan to help him earn a certificate, the certificate he earns has helped him earn a good salary job which he can use to repay the loan.

Therefore in the long term Luis will have a positive return on investment on his financial decision.

Hence we can conclude that the kind of ROI Luis demonstrates is Positive ROI.

Learn more about ROI here : brainly.com/question/23603222

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2 years ago

Ml data can be represented in '_____________' form(s).

Aleksandr [31]

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:

Matrix

Spatial

Scalar

Vector

Read more on machine learning (ML) here: brainly.com/question/25523571

7 0

2 years ago

Why is having an education important to you?

Sergeeva-Olga [200]

Answer:

the feeling of getting good grades after revising for so long knowing it payed off is the best feeling and also... money

7 0

2 years ago

Ammonia, whose chemical formula is NH3, is a colorless liquid at room temperature. It has a strong odor. It is used in many prod

cluponka [151]

Answer: NH3 is a compound containing atoms of Nitrogen and Hydrogen.

6 0

2 years ago

F(x) = x2 + 1 g(x) = 5 – x<br><br> (f + g)(x) =

klio [65]

<em>A function f (x) and g (x) then:</em>

<em>Further explanation</em>

Like the number operations we do in real numbers, operations such as addition, installation, division or multiplication can also be done on two functions.

Suppose a function f (x) and g (x) then:

(f + g) (x) = f (x) + g (x)

(f + g) (x) is a new function of the sum of f (x) and g (x)

Likewise with other function operations:

(f-g) (x) = f (x) - g (x)

(fg) (x) = f (x) x g (x)

(f / g) (x) = f (x) / g (x)

In addition to the above operations we can combine two functions using the function composition with the symbol o

(fog) (x) = f ((g (x))

Known on the question

f (x) = x² + 1

g (x) = 5 x