Answer:
a good algorithm must be able to accept a set of defined input. Output: a good algorithm should be able to produce results as output, preferably solutions. Finiteness: the algorithm should have a stop after a certain number of instructions. Generality: the algorithm must apply to a set of defined inputs.Explanation:
Answer:
Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is
Explanation:
The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."
This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.
Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.
And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters
Yes it does use search boxes
Answer:
The highest numeral in binary code is 1
In binary, you can only have 1s and 0s
if you're asking for the biggest number that can be represented, it's 255, which is 11111111. (this is 8 1s)
Explanation:
Is this a trick question? lol
May I have brainliest please? :)
Answer:
4. A Denial of Service attack (DDOS attack).
Explanation:
A DDOS attack is a malicious attempt to disrupt the normal traffic to a service.
In essence, it sends an enormous amount of requests to the service, until the server is overwhelmed because it can't handle that much traffic, and collapses in an overflow.
Thus, regular users are not able to access their services.
Usually, attackers use a botnet, a network of "zombie" computers that have been previously infected with a malware that allows the attacker to remotely control them, then the botnet starts to send a flood of traffic from different locations, and make the attacker difficult to detect or track.
