Answer:
Supervised and Unsupervised Learning:
a. Unsupervised learning
b. Supervised learning
3. Supervised learning
4. Unsupervised learning
Explanation:
The key difference between supervised machine learning and unsupervised machine learning is that with supervised machine learning there is a training dataset (labeled data) on which the algorithm is trained to predict patterns. With unsupervised machine learning on the other hand, there is no training data. So, the algorithm discovers patterns on itself without reference to another labeled data or training dataset.
Answer:
Risk on the critical path should be given higher priority than activities that are not part of the critical path, or that have a positive slack.
This is because incurring in a riks that is on the critical path can seriously alter the schedule of a project, to the point that the project could be delayed or put off.
<span>A nation seeking to escalate its overall productivity might
be best assisted by investing money into technology. Developments and advances
in technology which interprets into a more productive economic activity as
creation and delivery of goods and services are improved.</span>
Answer:
b,
Explanation:
treatment of hazardous waste is preferred to the other options, in a sense they all have side effect. But if waste are treated it reduces the rate of pollution.
They can recover the lost revenue that they would have expected to earn if their park had been open on time.
