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Artificial intelligence (AI) and Machine Learning (ML) are currently one of the hottest topics in the tech world. In simple terms, Artificial intelligence can be defined as programming computers to do things which humans are capable of doing. On the other hand, Machine Learning is the programming performed on a machine which enables a machine to learn through data and experience. Most people use the terms Artifical intelligence and Machine Learning interchangeably. This article seeks to distinguish the two by showcasing the difference between these two concepts.

 

The manner in which they operate

AI is a computer program that is programmed in a way such that it performs tasks which humans can perform in a more efficient manner. ML operates in a way that it takes in data and learns from the data. Thus, AI is an algorithm whereas ML creates algorithms of its own.

 

Aims and Goals of the concepts

The aim of AI is to increase the success of the task which is attempted to being performed. The aim of ML is to increase the accuracy of what task is being performed or predicted. The goal of AI is to imitate human intelligence in order to solve problems or perform tasks. The goal of ML is to learn from data in order to maximize the efficiency and accuracy of predictions or the task being performed.

 

Their orientation in terms of Solutions and Knowledge

AI is oriented in terms of decision making and works towards finding an optimal solution. On the other hand, ML is oriented in a manner such that it learns things from data and due to this it operates for finding the solution and does not delve into the optimality of the solution. Thus, AI could be categorized as machines oriented towards intelligence whereas ML can be categorized as machines oriented towards knowledge.

 

Given the importance that Artificial intelligence and Machine learning have in the present tech world and how all programming and work processes are being oriented towards these two concepts, it is pertinent to understand the nature of AI and ML as well as its implications and applications.