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padilas [110]
2 years ago
9

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

SAT
1 answer:
Aleksandr [31]2 years ago
7 0

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

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Which of the statements about mole ratios are true? select all that apply.
Serga [27]

The following are true of mole ratio

  • They are expressed as ratio of mass to molar mass
  • It is measured in moles

<h3>How to calculate the mole ratio</h3>

The formula for calculating the mole ratio is expressed according to the formula shown:

Mole ratio is the ratio of the mass of a substance to the molar mass of the same substance.

To calculate the mole ratio

Mole = Mass(g)/molar mass(g/mol)

Hence the following are true of mole ratio

  • They are expressed as ratio of mass to molar mass
  • It is measured in moles

Learn more on  molar mass here: brainly.com/question/24236159

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2 years ago
You have been called to testify as an expert witness in a trial.
aivan3 [116]

Answer: In court a witness is a person who saw it all happen and if your a witness the court would want you to explain what you saw or what happened.

Explanation:

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On a job search, strong writing skills are important when preparing a _<br> and a cover letter.
finlep [7]

Answer:

its B).

Explanation:

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3 years ago
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3 years ago
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A survey showed that 34 ​% of human resource professionals are at companies that rejected job candidates because of information
Svetllana [295]

Using the binomial distribution, it is found that since 16 is more than 2.5 standard deviations above the mean, it is a unusually high number.

<h3>What is the binomial probability distribution?</h3>

It is the probability of <u>exactly x successes on n repeated trials, with p probability</u> of a success on each trial.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

A measure is considered to be unusually high if it is more than 2.5 standard deviations above the mean.

In this problem, we hav ehtat:

  • 34% of companies reject candidates because of information found on their social media, hence p = 0.34.
  • 27 human resource professionals are randomly​ selected, hence n = 27.

Then, we find the threshold for unusually high values as follows:

E(X) = np = 27 x 0.34 = 9.18

\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{27(0.34)(0.66)} = 2.46

T = 9.18 + 2 x 2.46 = 14.1.

Since 16 is more than 2.5 standard deviations above the mean, it is a unusually high number.

More can be learned about the binomial distribution at brainly.com/question/24863377

#SPJ1

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2 years ago
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