Answer:
Explanation:
Known Variables A = max Daily Rentals
X = Damaged helmets %
lets find the formula to calculate Helmets per location :taking 1st row as an example.
412 = B - (B*13/100)
412 = (100B-13B)/100
412*100 = 87B
B= 412*100/87
Hence, the generic formula becomes : B= A*100/(100-X)
Applying the same formula for each row and then using ROUND function of excel to round off the digits
=ROUND(number,digits) where number is the number you would like to round off and the digits is the number of decimal digits for it to round off. Since we want natural numbers in our example, we will be using digits as 0.
Explanation:
See attached pictures also.
The answer that is a record in a relational database is called; A row
<h3>What is a record in relational database?</h3>
In relational databases, a record is defined as a group of related data held within the same structure. Furthermore, we can say that a record is a grouping of fields within a table that reference one particular object.
Now, in relational database, a row is called a record because each row, contains a unique instance of data or key for the categories defined by the columns.
Read more about Relational Database at; brainly.com/question/13262352
#SPJ12
<h2>
My Answer:</h2>
FTP: The definition on Wikipedia is; "The File Transfer Protocol (FTP) is a standard network protocol used for the transfer of computer files between a client and server on a computer network."
So, if the question is asking for technology that provides a method for two computers hooked to the internet transfer files back and forth between each other, so if we can sum it up the answer which makes the most sense is <em>FTP</em>.
~TheExpertNerd
You already wrote the answer. It is Additions
Answer:
Deep learning is an AI function that mimics the workings of the human brain in processing data for use in detecting objects, recognizing speech, translating languages, and making decisions. Deep learning AI is able to learn without human supervision, drawing from data that is both unstructured and unlabeled.