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Natalka [10]
2 years ago
5

is it really b because io dont need to make a bad grade on this everfi so please make sure this is right

Computers and Technology
1 answer:
GrogVix [38]2 years ago
6 0
You didnt post the answer choices. we cant answer.
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What would be a reason for using a workstation rather than a personal computer?
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You can easily organize your work space. also you may have more resources. hope this helps
4 0
3 years ago
Your location has been assigned the 172.149.254.0 /24 network. You are tasked with dividing the network into 13 subnets with the
ira [324]
  • The subnet mask would be a 32-bit integer which is formed by assigning the host bits to all 0's and the networking bits to so many 1's.
  • In this method, the subnetting separates the IP address between host and network addresses.
  • The subnet mask covers an IP address with its 32-bit number, thus the term "mask".

Given:

Network IP address \bold{= 172.149.254.0 /24}

Subnet numbers \bold{= 13}

Calculating the borrow bits:

\to  \bold{= ceil(\log_{2} 13) = 4 \ bits}

a)

Calculating the dotted decimal value for the subnet mask:

\to \bold{11111111.11111111.11111111.00000000}\\\\\to \bold{255.255.255.240}\\\\

b)

The additional bits which will be needed to mask the subnet mask that is = 4.

Learn more: brainly.com/question/2254014

4 0
3 years ago
Could Anyone Please Explain To Me What Is Supervised Learning In Machine Learning? I encourage that you explain it in simple wor
nadya68 [22]

Answer:

Kindly check Explanation.

Explanation:

Machine Learning refers to a concept of teaching or empowering systems with the ability to learn without explicit programming.

Supervised machine learning refers to a Machine learning concept whereby the system is provided with both features and label or target data to learn from. The target or label refers to the actual prediction which is provided alongside the learning features. This means that the output, target or label of the features used in training is provided to the system. this is where the word supervised comes in, the target or label provided during training or teaching the system ensures that the system can evaluate the correctness of what is she's being taught. The actual prediction provided ensures that the predictions made by the system can be monitored and accuracy evaluated.

Hence the main difference between supervised and unsupervised machine learning is the fact that one is provided with label or target data( supervised learning) and unsupervised learning isn't provided with target data, hence, it finds pattern in the data on it's own.

A to B mapping or input to output refers to the feature to target mapping.

Where A or input represents the feature parameters and B or output means the target or label parameter.

4 0
3 years ago
To maintain your body temperature, your body converts chemical potential energy into thermal energy T or F
PilotLPTM [1.2K]
True
This is physics btw
CPE --> TE
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3 years ago
What five safety habits are you using for the internet?
forsale [732]

Answer: Keep Personal Information Professional and Limited.

Keep Your Privacy Settings On.

Practice Safe Browsing.

Make Sure Your Internet Connection is Secure.

Be Careful What You Download.

Choose Strong Passwords.

Explanation:that’s what is think

4 0
2 years ago
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