Question

Some of the problems below are best addressed using a supervised learning algorithm, and the others with an unsupervised learning algorithm. Which of the following would you apply supervised learning to? (Select all that apply.) In each case, assume some appropriate dataset is available for your algorithm to learn from.

(a) Given historical data of children’s ages and heights, predict children’s height as a function of their age.
(b) Given 50 articles written by male authors, and 50 articles written by female authors, learn to predict the gender of a new manuscript’s author (when the identity of this author is unknown).
(c) Take a collection of 1000 essays written on the US Economy, and find a way to automatically group these essays into a small number of groups of essays that are somehow "similar" or "related".
(d) Examine a large collection of emails that are known to be spam email, to discover if there are sub-types of spam mail.

Answer 1

Some cases which we would apply supervised learning to are ` Given historical data of children’s ages and heights, predict children’s height as a function of their age and Given 50 articles written by male authors, and 50 articles written by female authors, learn to predict the gender of a new manuscript’s author (when the identity of this author is unknown).`

The answer is option ⇒a and b

Step-by-step explanation:

Supervised learning is applied in the following cases:

• 1. Predicting children's height based on age: Given historical data of children's ages and heights, supervised learning can be used to build a model that predicts a child's height based on their age. The historical data would serve as the training set, where each data point consists of an age-value pair. The algorithm would learn the relationship between age and height from the training data and use this knowledge to make predictions for new, unseen ages.

• 2. Predicting the gender of a manuscript's author: In the case where we have a dataset containing 50 articles written by male authors and 50 articles written by female authors, supervised learning can be applied to predict the gender of a new manuscript's author when their identity is unknown. The dataset would be used as the training set, where each article is labeled with the gender of its author.

The answer is option ⇒a and b