Machine learning (ML) data can be represented in the following forms:
1. Matrix and Spatial.
2. Scalar and Vector.
Machine learning (ML) is also referred to as Artificial intelligence (AI) and it can be defined as a subfield in computer science which is focused on the use of computer algorithms to build a smart computer-controlled robot that has the ability (capacity) to automatically perform and handle tasks that are exclusively designed to be performed by humans or by using human intelligence.
Generally, the data that are generated and used in machine learning (ML) can be represented in the following forms:
Read more on machine learning (ML) here: brainly.com/question/25523571
Answer:
6.47x10-5
Explanation:
I just did it on my I ready test
Answer:
Explanation:
Let's just get the answer and then show why the others are wrong.
The answer is C.
The number of reactants and Products need not be the same
C3H8 + 5O2 ===> 3CO2 + 4H2O
The reactants = 1 + 5 = 6
The products = 3 + 4 = 7
So A is incorrect.
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B is saying that
C3H8 + 5O2 ===> C3H8 + 5O2
The answer is obviously not B
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C8H18(l) + O2(g) ==> CO2(g) + H2O(g) unbalanced
Gasoline is a liquid. All the rest are gases. D is wrong.
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C is correct
The left side has
3 Cs
8 Hs
and 10 Os
The right side has
3Cs
8Hs
10 Os
Normal distribution curve has the greatest standard deviation.
Standard deviation describes how far from the mean the given data set spread out
