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:
measures the value that a buyer places on a good.
Explanation:
A product can be defined as any physical object or material that typically satisfy and meets the demands, needs or wants of customers. Some examples of a product are mobile phones, television, microphone, microwave oven, bread, pencil, freezer, beverages, soft drinks, etc.
Willingness to pay measures the value that a buyer places on a good or product. Thus, when this value is high, the customer would ultimately buy a product and vice-versa.
Answer:
False
Explanation:
The formula for equivalent units units as follows:
Opening Work in Process + Equivalent units on which the work is done - Closing Work in process = Units Transferred
Therefore, ideally,
Opening work in process - Closing work in process = Units transferred - Equivalent units on which work is done.
As adding all the cost incurred during the period to opening inventory of work in process, we get the total cost for the period, thereafter, deducting the cost allocated to closing work in process we get the value of goods produced and transferred.
<u>Therefore, above statement is false.</u>
