Answer:
Check the explanation
Explanation:
• We are taking a look at the class B network beginning with 172.0.0.0.0,while Converting this value to binary as:10101100.00010100.00000000.00000000. 32 bits in total, out of this the First 16 bits that are used as network ID and the subsequent 16 bits are used as HostID.Out of the 16 bits that are sued for Network ID the 2 bits namely Bits fifteen and sixteen (15 and 16) have been set and can't be changed and hence only 14 bits are used as network ID.
• Now so that we can divide this network into 50 subnets for class B network we will have to borrow a bit as shown below:
• 10101100.00010100.00000000.00000000=172.0.0.0.0,Adding 1 bit by borrowing from host portion and adding it to network ID will give it 10101100.00010100.00000000.00000000(0 shown in bold) or10101100.00010100.10000000.00000000 (1 shown in bold) will give us 2 unique subnets.i.e changing 1 bit will give us 2 power 1=2 subnets,thus changing 2 bits will give us 2 power 2 subnets =4 similarly changing 6 bits will give us 64 unique subnets.
• Which means and going by the above problem statement in case we need 50 subnets and we also need to change 6 bits in the Network ID to give 50 unique subnets.
• Thus the answer is 6
The two different uses or applications of data that is biases in word embeddings and may cause significant ethical harms are:
- Class immobility
- Systemic racism
<h3>What are the
biases in word embedding?</h3>
Word embeddings is known to be made up of a high level bias such as group stereotypes and prejudice.
The two different uses or applications of data that is biases in word embeddings and may cause significant ethical harms are:
Class immobility
Learn more about biases from
brainly.com/question/24491228
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Click the icon at the bottom of the screen that says “US” it should go away
D I believe. I’m not %100 percent sure.
