The Pirates of Silicon Valley.
Tron
Hackers
Antitrust
The Social Network
The Internship
The Imitation Game
It can produce harsh shadows
Answer:
In C++:
#include <iostream>
using namespace std;
int main(){
string fname,lname; int num;
cout<<"Firstname: "; cin>>fname;
cout<<"Lastname: "; cin>>lname;
cout<<"4 digits: "; cin>>num;
string login = lname;
if(lname.length()>=5){
login = lname.substr(0, 5); }
login+=fname.substr(0,1)+to_string(num%100);
cout<<login;
return 0;
}
Explanation:
See attachment for explanation where I used comments to explain each line
Answer:
A Python data type is weakly typed.
A Python data type can have numeric values.
A Python data type can be shown by keys and values within brackets [ ].
A Python data type can be a string, a list, or a tuple with items that can be repeated using the asterisk ( * ).
A Python data type can be a dictionary that can be updated, changed, or removed.
Aka A B C E F
Answer:
Collaborative filtering
Explanation:
This is one out of five on the Recommender system apart from most popular items, Association and Market Basket based Analysis, Content-based analysis, self and hybrid analysis where we use both content-based and collaborative based approach together. And the Recommender system is a very important topic in Data science. For this question, remember that Collaborative filtering focuses on user and various other user's choices which are mathematically alike to concerned users, and which we find with the study of a large data set. Thus, we can predict from our above study that what are going to be likes of concerned users, and at the item level, whether that item will be liked by the concerned user or not. And this is prediction, and we use this approach in Machine learning these days. For this question, and as mentioned in question the requirements, answer is Collaborative filtering.
