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: Nontraditional resumes are ideal for job seekers in particularly creative industries, such as marketing and design. More specifically, online resumes are helpful for applicants who want to post films, sound clips, photographs, or other pieces of work related to their industry.
Explanation:
Answer:
The correct answer is letter "B": Order Qualifier.
Explanation:
An Order Qualifier represents the minimum features a good or service must meet so consumers can think about purchasing them. Variables that could fall into this category are price, convenience or the product's reputation. If the good or service accomplishes one of those characteristics and is of preference of the consumers, then the firm has an order winner.
Answer:
B. The results are objective.
Explanation:
Thei return with the information that customer demand for quality in their dinner weren't met.
When the customer order something it is a plate it likes therefore, it should not return the order. If it does then, the restaurant is not doing a good job in the quality department.
It should check now for either decrease in their quality or adapt into the customers preference change