It is true that to <span>draw a clustered cylinder chart, first select the data to be charted and then click the column button (insert tab | charts group).</span>
Answer:
B. Symmetric key encryption
Explanation:
Symmetric key encryption is one in which a single encryption key is sent to the receiver so both sender and receiver share the same key. In this type of encryption, the sender uses a particular key to encrypt the data and sends the encrypted data (cipher data) to the receiver and then the receiver uses the same key to decrypt the data.
Public key encryption, or asymmetric encryption uses two keys - a private key and a public key. The public key is know to everyone while the private key is known only to those for whom the message is intended. An application of this type of encryption is in SSL (Secure Sockets Layer) - a protocol for transmitting data privately on the internet.
Private key encryption is not exactly one of the encryption methods but rather, a private key and a public key are used in encryption.
The best option is therefore <em>symmetric key encryption</em>.
<em>Hope this helps!</em>
Answer:
It reverts to the original image
Explanation:
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.
Answer:
Explanation:
The following Python code asks the user for inputs for the name to remove and add in the set. It then tries to remove the given name from the list. If it fails it prints out to the user saying that the name does not exist. If it does exist then it removes the name and adds the new name. Finally it prints out the current list of names.
male_names = {'oliver', 'Declan', 'Henry'}
name_to_remove = input("Enter name to remove: ")
name_to_add = input("Enter name to add: ")
try:
male_names.remove(name_to_remove)
male_names.add(name_to_add)
except:
print("Name that you are trying to remove does not exist")
print("List of Names: ")
print(male_names)
