Psychology, asked by Anonymous, 3 months ago

Algorithms' is strategy of teaching
(A) Oral communication
(B) Written communication
(C) both
(D) None of these​

Answers

Answered by Anonymous
2

Explanation:

C}. Both

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Answered by ashutoshmishra3065
0

Answer:

Explanation:

Algorithm:

An algorithm is a process used to carry out a computation or solve a problem. In either hardware-based or software-based routines, algorithms function as a detailed sequence of instructions that carry out predetermined operations sequentially. All aspects of information technology employ algorithms extensively.

A simple technique that resolves a recurring issue is typically referred to as an algorithm in mathematics and computer science. Algorithms are essential to automated systems because they serve as specifications for processing data.

An algorithm may be employed for simple tasks like sorting lists of numbers or for more challenging ones like suggesting user content on social media. The starting input and instructions for an algorithm's computation are often provided. When the calculation is finished, an output is created.

Examples of Algorithm:

A good example of an algorithm is machine learning, which predicts outcomes without having been expressly taught to do so. Unsupervised learning or supervised learning are both used in machine learning. In supervised learning, data scientists set the variables they want the algorithm to look for connections between and feed the sophisticated algorithms with labelled training data. The algorithm's input and output are both listed.

Algorithms used in unsupervised machine learning practice on unlabeled data. Algorithms for unsupervised machine learning comb through unlabeled data in search of patterns that can be utilized to divide data points into subsets. Neural networks and the majority of deep learning models use unsupervised techniques.

Algorithms are also employed in machine learning in artificial intelligence. However, the data that feeds the machine learning algorithm in systems based on machine learning may contain inherent biases. This might lead to unreliable and potentially dangerous systems.

Oral communication:

The term "oral communication" denotes verbal exchanges. It comprises people communicating with one another, whether it be face-to-face or over the phone. Oral communication includes discussions, speeches, and presentations.

Written communication:

Any written communication between two or more persons is referred to as written communication. Compared to spoken communication, written communication is often more formal but less effective.

Algorithms' is strategy of teaching Oral communication and Written communication.

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