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Helga [31]
3 years ago
5

Can someone help me with this pls

Computers and Technology
2 answers:
Dimas [21]3 years ago
5 0

I know the first one shown in the picture but I can't see the one under it I can help you if you can show the whole problem under the first problem.

Aneli [31]3 years ago
3 0
Move top and left middle
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Convert each number into scientific notation.
Fudgin [204]

Answer:

4 * 10^9

2.7 * 10^-8

6.776 * 10^7

9.05*10^4

5.409*10^5

9.04 * 10^-3

3.2 * 10^-2

5.12 * 10^8

Explanation:

1. 4,000,000,000

4 * 1,000,000,000 = 4 * (10*10*10*10*10*10*10*10*10) = 4 * 10^9

2. 0.000000027

27 * 10^-9 = 2.7 * 10^-8

0.000000027 = 2.7 * 10^-8

3. 67,760,000 = 6776 * 10000

6776 * 10000 = 6776 * 10^4

6776 * 10^4 = 6.776 * 10^3 * 10^4 = 6.776 * 10^7

4. 90,500

905 * 100 = (9.05 * 100) * 100

(9.05*100) * 100 = 9.05 * 10^2 * 10^2 = 9.05*10^4

5. 540,900

5409 * 100 = (5.409 * 1000) * 100

(5.409*1000)*100 = 5.409*10^3 * 10^2

5.409*10^3 * 10^2 = 5.409*10^5

6.) 0.00904

0.00904 = 904 * 10^-5

904 * 10^-5 = 9.04 * 10^-3

7. 0.032

32 * 10^-3 = 3.2 * 10^-2

8. 512,000,000

512 * 1000000

512 * 10^6 = 5.12 * 10^2 * 10^6 = 5.12 * 10^8

5 0
3 years ago
Suppose we have a linearly separable dataset, and we divide the data into training and validation sets. Will a perceptron learne
Sauron [17]

Answer:

Theoretically Yes

Explanation:

The data given is linearly separable. So, the subset of the data will also be linearly separable. And it will pass for all training dataset. However, you should definitely never expect such thing In any real-life problem because the data is noisy, for a bazilion of reasons, so no model is guaranteed to perform perfectly.

3 0
3 years ago
Okay so remember that page I was advertising? At: fol ? Now it's deleted. And idk why because I was doing everything the right w
dimulka [17.4K]

Answer:

i don't think u can

Explanation:

maybe right a complaint or something

8 0
4 years ago
I DON"T GET THIS WHY IS THIS FUNNY
MakcuM [25]

Answer:

They deleted my answer what is funny?

Explanation:

8 0
3 years ago
Compute the sum of the values in data_array, instead of using the sum() function. To do this, you must "accumulate" a result, wh
Dmitry [639]

Answer:

public class TestClock {

   public static void main(String[] args) {

       int [] data_array = {1,2,3,5,3,1,2,4,5,6,7,5,4,3};

       int data_array_sum =0;

       for(int i=0; i<data_array.length; i++){

           data_array_sum = data_array_sum + data_array[i];

           System.out.println("Acumulating sum is "+data_array_sum);

       }

       System.out.println("Total sum is: "+data_array_sum);

   }

}

Explanation:

Using Java programming language for this problem, we declare and initialize the array with this statement:

int [] data_array = {1,2,3,5,3,1,2,4,5,6,7,5,4,3};

Then created a variable to hold the sum values and initialize to zero:

int data_array_sum =0;

Using a For Loop statement we iterate through the array and sum up the values.

8 0
4 years ago
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