Answer:
4. Kantian Ethics
Explanation:
Immanuel Kant, a renowned German philosopher, is primarily recognized for his contributions to the field of Ethics.
He coined the term "Categorical Imperative" which represents a universal principle of morality applicable to everyone. Essentially, it implies that all moral dilemmas should be addressed by employing this categorical imperative.
In simpler terms, we should refrain from actions we wouldn't want everyone else to replicate.
When discussing ethnic groups, the Indian American population holds the record for having the highest median family income at $100,000.
In supervised learning, the class labels for training samples are "known".
In supervised learning, we start with a dataset that includes both input characteristics and target attributes. The supervised learning algorithm learns the relationships between the training examples and their associated target variables and applies this learned correlation to classify completely new inputs (which lack targets).
In supervised learning, each instance is a pair that consists of an input query (usually a vector) and a desired output value (also known as the supervisory signal). A supervised learning algorithm examines the training data and produces an inferred function that can be utilized for mapping new instances.
Answer:
c. Strong feelings may be produced by a computer, rather than by a human.
Explanation:
Machines, like computers, are incapable of creating sentiments or emotions; these are generated by people.
In the scenarios outlined in options A, B, and D, pinpointing the target of an expressed feeling can be challenging since blog posts may be aimed at a broad audience rather than a specific person, and there may be several targets within a single sentiment.
