Answer:
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Explanation:
i feel that i remmeber it from a test
Answer:
Computer Science is the study of the existing things and programming language to acquire knowledge in that field
Computer engineering is applying the knowledge to invent new things
Explanation:
Computer Science is the study of the existing things and programming language to acquire knowledge in that field
Computer engineering is applying the knowledge to invent new things
If we want to accomplish any task , first you should know how to achieve that task and you should have some knowledge to do that task. Computer Science basically deals with acquiring knowledge in the are of computers.
Computer engineering is the engineering things based on the facts we have alreday
Answer:
=POWER(2,14)
Explanation:
The complete question is to write the given formula in cell F1
We have:
The above formula implies 2 raised to the power of 14.
In Excel, this can be achieved using the power function
And the syntax is:
=POWER(m,n)
which means m^n
So, 2^14 will be entered in cell F1 as:
=POWER(2,14)
Explanation:
We should see scaling well as referring to problems that can well be solved using computation. Two real-world examples are:
- problems involving finding the largest or smallest of several lists of numbers: Usually, a simple program executed to lookup the data set to determine which number fits the properties needed.
- problems involving equations: By computing the variables (x, y, etc) that make up the equation, and the operations (eg, addition, division) to be performed on the variables the problem can be solved well.
Answer:
The third point i.e " Use an alternating least squares (ALS) algorithm to create a collaborative filtering solution" is the correct answer .
Explanation:
The Alternating Less Squares is the different approach that main objective to enhancing the loss function.The Alternating Less Squares process divided the matrix into the two factors for optimizing the loss .The divided of two factor matrix is known as item matrix or the user matrix.
- As we have to build the machine learning model which proposes restaurants to restaurants that are based on the customer information and the prior restaurant reviews the alternating least squares is the best model to implement this .
- All the other options are not the correct model also they are not related to given scenario that's why they are incorrect options.
