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s2008m [1.1K]
3 years ago
9

What do you mean by algorithm​

Computers and Technology
2 answers:
zimovet [89]3 years ago
8 0
A process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
Snowcat [4.5K]3 years ago
7 0

A process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.

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13. A 2-sided coin has an equal likelihood of landing on each side. One side is called "heads" and the other is called "tails".
serious [3.7K]

Answer: c

Explanation:

only reasonable answer

7 0
2 years ago
The piece of hardware that contains the circuitry that processes the information coming into the computer and tells the other ha
Aleksandr-060686 [28]
The central processing unit
6 0
3 years ago
What is the first and last value of i to be displayed by the following code snippet? int n = 20; for (int i = 0; i <= n; i++)
frutty [35]

Answer:

The first value of i is 0 and last value of i is 20.

Explanation:

The following are the description of a given loop.

  • In this problem, there are two loops one is the internal loop and the other is the external loop
  • In the outer loop, the value of " i" is initialized with "0" So the first value is printed 0 in the console.
  • For one value of "i" all the inner loop is executed.
  • The loop is executed is less equal to 20 that's why the last value of "i" is printed 20 in the console window.

6 0
3 years ago
The following is a training dataset that has ten one dimensional objects.
grandymaker [24]
Yes no no false . . . .
6 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
e-lub [12.9K]

Answer:

40

Explanation:

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

= (numbers of nodes + bais) output, we get;

= ( 3+ 1 ) × 1

= 4 weights

weights with respect to input and hidden layer total = 36

weights with respect to hidden and output layer total = 4

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

= 40

6 0
2 years ago
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