Answer:
#include<stdio.h>
void ConvertFahrenheit(float);
void main()
{
float fahrenheit_temp;
printf("Input the temperature in Fahrenheit: ");
scanf("%f", &fahrenheit_temp);
ConvertFahrenheit(fahrenheit_temp);
}
void ConvertFahrenheit(float fahren) {
float c, k;
c = (fahren - 32)/1.8;
k = (fahren + 459.67)/1.8;
printf("Celsius = %f\n", c);
printf("Kelvin = %f", k);
}
Explanation:
- Inside the main function, take the temperature in Fahrenheit as an input from user and call the ConvertFahrenheit function by passing it the fahrenheit_temp variable as an argument.
- Create the ConvertFahrenheit function for the conversion and convert the fahrenheit value to the Celsius and Kelvin by using their conversion formulas respectively.
- Lastly, display the result in Celsius and Kelvin.
The CPU, or central processing unit, is the hardware that takes most of the load when running a program. It will perform complex calculations and execute every instruction as the program continues.
The GPU, or graphics procession unit, is the hardware that could also play a major roll in calculating the instructions to execute a program, though this depends on how graphically intensive the program is. For example, games would use a lot more GPU power than say a simple calculator application.
Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
<em>Hope this helps!</em>
Answer:
D. Collective intelligence
Explanation:
Collective intelligence appears when people work together. It is derived from the collaboration, collective actions, and competition of many parties.
In Emily's job, she collaborate with partners, compare competitors and tap into the knowledge of prospective employees, partners, and customers. Thus, she performs collective intelligence.
Its the Thigh Bone. Hope this helps. =^-^=
