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
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Answer:
The answer to this question is given below in the explanation section.
Explanation:
The correct matching answers for this question are given below. In this question, it is asked to identify the data type of the given scenario.
Integer short and integer long data type:
These data types can hold whole positive and negative numbers. however, you can also store positive and negative values in float and double data type also.
Boolean data type:
Boolean data type usually stores true or false values such as yer or no, true or false etc. It stores binary values i.e 1 or 0.
Float and Double data type: float and double data type can store positive and negative numbers with decimals. But, the float data type can store 4 bytes of data and sufficient for storing 7 decimal digits. while double data type has a size of 8 bytes of data and sufficient for storing 15 decimal digits.
However, for the given scenario in the question, the float data type can accomodate these values easily.
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