When you are creating a website, you will usually need to add details to the website. If you're coding a website as HTML, you always have to make sure your code is correct. If one thing is a mess up, you have to start the whole thing all over again.
Answer:
D. Frames
Explanation:
An animation is made up of individual images called FRAMES.
The term refers to old film ribbons where each image was presented in a frame, on the long film ribbon that would be moving in front of a light to project the movie images.
A. Thumbnails: they're a small version of an image.
B. Hot spots are areas that can be clicked to link somewhere else for example.
C. Icons are small images, can be animated or not.
The overall objective of an IT risk assessment is to assist an organization in identifying risks and impacts.<span> The process includes discovering, correcting and preventing security problems.</span>
The IT risk assessment document identifies threats, estimates risks and determines how to manage them.
The single instruction that can inverts bits 5 and 6 in the bl register is xor bl,1100000b.
<h3>What is single instruction?</h3>
Single Instruction is a term that connote all the data streams are said to be processed though the use of the same compute logic.
Note that in the case above, the single instruction that can inverts bits 5 and 6 in the bl register is xor bl,1100000b.
Learn more about bits from
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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.
