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:
The correct answer is letter "C": selective distortion.
Explanation:
Selective distortion refers to a perceptual process in which individuals try to make fit new ideas with previous points of view they had about certain topics. This scenario takes place because individuals tend to block new information input so they distort the new information to make it match their beliefs.
Answer:
A. Education, savings, and human capital, respectively.
Answer:
logistics integration with cost-effective technique.
Explanation:
Combining these two techniques the company might better attend the consumers and also save costs for the Company.
The four career pathways in the finance cluster are banking and related services, business financial management, financial and investment planning, and insurance services.
