Answer:
As aperture increases in f-stop values, the lens closes. On the other hand, when aperture decreases in f-stop values, the lens opens.
Explanation:<u><em>plz give brainlist</em></u>
In the case above, the the new subnet mask in prefix format is seen in IPv6 and in IPv4.
<h3>What is
subnet prefix mask?</h3>
A lot or a single computer that is known to be linked to a subnet is said to shares a kind of an identical part of the IP address.
Note that this shared information is said to be called the routing prefix, and in IPV4 (Internet Protocol Version 4), the routing prefix is said to be called a subnet mask.
Hence, The the new subnet mask in prefix format is seen in IPv6 and in IPv4 because that is the format that it always comes in.
Learn more about subnet from
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Bayes’ Theorem provides a way that we can calculate the probability of a piece of data belonging to a given class, given our prior knowledge.
P(class|data) = (P(data|class) * P(class)) / P(data)
Where P(class|data) is the probability of class given the provided data.
Explanation:
- Naive Bayes is a classification algorithm for binary and multiclass classification problems.
- It is called Naive Bayes or idiot Bayes because the calculations of the probabilities for each class are simplified to make their calculations tractable.
This Naive Bayes tutorial is broken down into 5 parts:
Step 1: Separate By Class : Calculate the probability of data by the class they belong to, the so-called base rate. Separate our training data by class.
Step 2: Summarize Dataset : The two statistics we require from a given dataset are the mean and the standard deviation
The mean is the average value and can be calculated using :
mean = sum(x)/n * count(x)
Step 3: Summarize Data By Class : Statistics from our training dataset organized by class.
Step 4: Gaussian Probability Density Function : Probability or likelihood of observing a given real-value. One way we can do this is to assume that the values are drawn from a distribution, such as a bell curve or Gaussian distribution.
Step 5: Class Probabilities : The statistics calculated from our training data to calculate probabilities for new data. Probabilities are calculated separately for each class. This means that we first calculate the probability that a new piece of data belongs to the first class, then calculate the second class, on for all the classes.
The type of manager that services all requests for data is known as IT service management (ITSM)
Answer:
try resetting your account or change the picture and see if the other one is stretched out to
