Question

Which of the following problems are best suited for Machine Learning?

(i) Classifying numbers into primes and non-primes.
(ii) Detecting potential fraud in credit card charges.
(iii) Determining the time it would take a falling object to hit the ground.
(iv) Determining the optimal cycle for traffic lights in a busy intersection.
[a] (ii) and (iv)
[b] (i) and (ii)
[c] (i), (ii), and (iii)
[d] (iii)
[e] (i) and (iii

Answer 1

Machine Learning is best suited for detecting fraud in credit card charges and determining the optimal cycle for traffic lights in a busy intersection.

Step-by-step explanation:

Machine Learning (ML) is a branch of Artificial Intelligence that uses statistical techniques to enable computers to learn from data and make predictions or decisions without being explicitly programmed.

Based on the given options, (ii) Detecting potential fraud in credit card charges and (iv) Determining the optimal cycle for traffic lights in a busy intersection are the problems that are best suited for Machine Learning.

In the case of fraud detection in credit card charges, Machine Learning can analyze large amounts of historical data to build a model that can identify patterns and anomalies associated with fraudulent transactions.

Similarly, when determining the optimal cycle for traffic lights, Machine Learning can analyze traffic data in real-time, learn from previous traffic patterns, and adjust the timing of traffic lights to optimize traffic flow.