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.
They are the same just a different name, the main name is video card but some call it a graphics card and others call it a display card
Answer:
True
Explanation:
In this pseudocode the programmer defines 3 variables, x=1, y=2 and z=3, then he creates a conditional that states that if any of the previously defined variables has the value of 1 then a True will be displayed, on the other hand, if none of the variables has the value of 1 then a False will be displayed. In this case x=1, so it will display a True.
