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:
128 GB
Explanation:
Here, we are interested in calculating the total capacity of the disk.
From the question, we can identify the following;
Number of surfaces = 4
Tracks per surface = 131,072
Number of sectors = 2,048
Each Block size = 512 bytes
Mathematically;
Total data capacity of the disk = no of tracks * no of sectors * block size
= 131,072 * 2048 * 512 bytes
= 2^17 * 2^11 * 2^9 bytes = 2^37 bytes
1 GB = 2^30 bytes
So 2^37 = 2^7 * 2^30
= 128 GB
Answer:
bottom right
Explanation:
at least on windows it's bottom right
Answer:
Mainframes
Explanation:
Mainframes are utilized by many major corporations and government agencies. They are also used in banking, accounting, and healthcare to name a few.
