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nikitadnepr [17]
3 years ago
15

In the Dognition_aggregated_by_DogID data set, what is consistent about the relationship between breeding group and number of te

sts completed, regardless of whether you aggregate the variable representing the number of tests completed by the median or the average of the breeding group?
Computers and Technology
1 answer:
snow_tiger [21]3 years ago
3 0

Answer:

Toy dogs

Explanation:

Tableau is an application used for statistically analyzing and visualizing data. It is very popular for its ecstatic data visualization figures and works with all dataset types to create a tableau data format.

The Dognition_aggregated_by_DogID dataset holds data for the different dog types, breeding, and tests done on them. The consistent relation between the breeding group column and tests completed is the toy dogs.

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Choose the correct definition for Conditional Statement A. Affects the sequential flow of control by executing different stateme
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A: Affects the sequential flow of control by executing different statements based on the value of a Boolean expression

Explanation

because the real definition is Definition. A conditional statement is a statement that can be written in the form “If P then Q,” where P and Q are sentences. For this conditional statement, P is called the hypothesis and Q is called the conclusion. Intuitively, “If P then Q” means that Q must be true whenever P is true. And A, explain that.

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Which of the following is true about occupations within the STEM fields? Many occupations use mathematics, even if it is not the
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Many occupations use mathematics, even if it is not the primary focus of a given job.

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A. Many occupations use mathematics, even if it not the primary focus of a given job.

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Shawn works at the local electrical company in Nampa, ID, which provides electricity to the entire city of Boise. This area is p
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D. Fault tolerance

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3 0
3 years ago
From a neural network with 11 input variables, one hidden layer with three hidden units, and one output variable, how many param
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Answer:

40

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Given that:

A neural network with 11 input variables possess;

one hidden layer with three hidden units; &

one output variable

For every input, a variable must go to every node.

Thus, we can calculate the weights of weight with respect to connections to input and hidden layer by using the formula:

= ( inputs + bias) × numbers of nodes

= (11 + 1 ) × 3

= 12 × 3

= 36 weights

Also, For one hidden layer (with 3 nodes) and one output

The entry result for every hidden node will go directly to the output

These results will have weights associated with them before computed in the output node.

Thus; using the formula

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Finally, the sum of both weights is = 36 + 4

= 40

6 0
2 years ago
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