Answer:
int counter = 0;
for(int i =0;i<100;i++){
if(myarr[i]%2==0){
if(myarr[i] > 10 && myarr[i]<157){
counter++;
}
}
}
cout<<counter;
Explanation:
The question is answered using c++ and it assumes that the array name is myarr
This line initializes counter to 0
int counter = 0;
This iterates through the array
for(int i =0;i<100;i++){
This checks if current array element is even number
if(myarr[i]%2==0){
If the above condition is true; This checks if the array element is within the range of 10 and 157 (inclusive)
if(myarr[i] >= 10 && myarr[i]=<157){
If yes, the counter is increased by 1
counter++;
}
}
}
This prints the total counter number
cout<<counter;
Answer:
dd if=/dev/drive1 of=/dev/backup
Explanation:
Linux operating system is an open-source computer application readily available to system operators. The terminal is a platform in the operating system used to write scripts like bash and directly communicate with the system kernel.
There are two commands used in bash to copy files, the "cp" and "dd". The dd is mostly used to copy files from one storage or partition to another. The syntax of dd is;
dd if= (source partition/directory) of= (target partition/directory)
A chemical that can harm ones body
I personally have online courses, A. seems like a fitting choice in my opinion. I hope this helps.
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.
