Final answer:
The difference between a basic algorithm and a learning algorithm is that An basic algorithm takes an input and gets an output, while a learning algorithm uses the output on the next input
The answer is option ⇒b
Step-by-step explanation:
A basic algorithm is akin to a fixed recipe; it takes an input and processes it through a pre-defined set of instructions to achieve an output. This process does not change regardless of the number of times the algorithm is run or the variety of inputs it receives. Examples include the steps used by search engines to list results or social media algorithms for newsfeeds. In contrast, a learning algorithm is designed to learn from data. It adjusts its processing based on the input it receives and its previous experience.
This means that the algorithm's behavior may change and improve over time as it processes more data and 'learns'. Therefore, the correct answer is 'B: A basic algorithm takes an input and gets an output, while a learning algorithm uses the output on the next input', as learning algorithms incorporate feedback from previous outputs to inform the processing of subsequent inputs, thereby adapting and improving with experience.
The answer is option ⇒b