Answer:
Data Mining Techniques
Identification of whether the task required supervised or unsupervised learning:
a. supervised learning
b. supervised learning
c. supervised learning
d. supervised learning
e. supervised learning
f. unsupervised learning
g. unsupervised learning
h. supervised learning
Explanation:
There are supervised and unsupervised machine learning models. In a supervised learning model, the algorithm evaluates a labeled dataset by comparing it with another dataset called the training data. The purpose is to evaluate its accuracy on the training data. On the other hand, an unsupervised model uses the unlabeled dataset and tries to make sense of it by extracting non-existing features and patterns without the training dataset.
Answer:
Scalability
Explanation:
Scalability is the ability to increase or decrease resources for any given workload.
- When the resource is increased by the addition of more resources to service a workload, it is known as Scaling Out.
- When the resource is decreased by the reduction of resources to service a reduced workload, it is known as Scaling In.
- When additional capabilities is added to manage an increase in demand to the existing resource , it is referred to as Scaling Up.
- Likewise, when capabilities is reduced to manage a decrease in demand to the existing resource , it is referred to as Scaling Down.
Scaling does not have to be done automatically.
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Answer:you tie a noose and hope for the best my friend. and if all goes south, you have a backup plan.
Explanation:
Answer:
$1.07
Explanation:
In this question ,we use the formula which is shown below:
A = P × (1 + r ÷ 100)^n
where,
P = Present value $0.90
A = Future value
rate =3%
number of years = 6
Now put these values to the above formula
So, the value would be equal to
= $0.90 × (1 + 3%)^6
= $0.90 × 1.03^6
= $0.90 + 1.194052
= $1.07
We considered all the items so that the correct dividend can come
