I had to look for the options and here is my answer:
The statement that best illustrates what inherent bias is at is is used in reading and learning about the world is this: "<span>Historians are interpreting the past." Definitely, historians do not interpret the past, but rather their field focuses on gaining facts and information related the past.</span>
Answer:
Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is
Explanation:
The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."
This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.
Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.
And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters
Answer:
The most appropriate way to deal with the situation presented above is to acquire more space at the current office site at additional rent beforehand.
Explanation:
The Scaling of a revenue-generating business is a crucial task in which a lot of pre-planning and thinking is required.
In order to scale the business in the next year, the planning of it is to be carried out at the moment and proper necessary arrangements are ensured. These steps could be one from:
- Looking for bigger spaces for renting for a full shift of the operations
- Looking for a site office for an additional office
- Acquiring more space in the current office site.
This process would result in acquiring a bigger place beforehand but in order to mitigate the risk, try to keep the place in view by providing them a bare minimum advance for the additional units.
Answer:
it is A,B,E,F,G
Explanation:
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