Answer:
atof
Explanation:
atof function is used to convert a string to a double.
It takes a single parameter of type const char * and returns a double value.
The function signature is: double atof (const char* str);
In order to use this function in the code, you need to include the header file <stdlib.h>
For example:
#include <stdio.h>
#include <stdlib.h>
int main()
{
char str[5] = "0.01";
double d = atof(str);
printf("Value = %f\n", d);
return 0;
}
Answer:
Kindly check Explanation.
Explanation:
Machine Learning refers to a concept of teaching or empowering systems with the ability to learn without explicit programming.
Supervised machine learning refers to a Machine learning concept whereby the system is provided with both features and label or target data to learn from. The target or label refers to the actual prediction which is provided alongside the learning features. This means that the output, target or label of the features used in training is provided to the system. this is where the word supervised comes in, the target or label provided during training or teaching the system ensures that the system can evaluate the correctness of what is she's being taught. The actual prediction provided ensures that the predictions made by the system can be monitored and accuracy evaluated.
Hence the main difference between supervised and unsupervised machine learning is the fact that one is provided with label or target data( supervised learning) and unsupervised learning isn't provided with target data, hence, it finds pattern in the data on it's own.
A to B mapping or input to output refers to the feature to target mapping.
Where A or input represents the feature parameters and B or output means the target or label parameter.
I guess the answer in the blank is processes.
Activities called processes involve the microprocessor receiving commands as software carries out tasks and while input arrives from the keyboard, mouse, and other devices.
