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:
first find a business idea and make a plan (logo, name, what item ur selling..etc.)
For each of the following goods that are imported in the United States, abundant input is the only source of comparative advantages that accounts for that country's comparative advantage. Therefore, the option A holds true.
<h3>What is the significance of a comparative advantage?</h3>
A comparative advantage can be referred to or considered as a situation in which a producer has an economic advantage over the other in a number of economic activities. At least two economies need to be a part of the society for the occurrence of a comparative advantage.
Abundant inputs is one of the key sources of comparative advantage. It is considered as a source that can account for another country's comparative advantage, when it lets the United States import its goods.
Therefore, the significance regarding comparative advantage has been aforementioned.
Learn more about comparative advantage here:
brainly.com/question/13221821
#SPJ4
Answer: Analogy
Explanation:
The method of forecasting that this example illustrate is analogy. Forecast by analogy refers to the forecasting method which simply assumes that two different kinds of situations have identical models and therefore share the same model of behaviour.
This can be infered from the situations that once the per capita GDP is known for the country, the per capita demand for the toys can be estimated.
