Both have generated excitement amongst the human population because of their widespread use and depth. We often mistakenly think of them as synonymous, without realising the differences between the two. Even though they are interconnected, there are differences between them. Machine learning is considered a part, not an AI. Let’s take a look at what they actually mean.
What is Artificial Intelligence?
Artificial intelligence (AI) is the ability of a computer to mimic human cognitive processes such as problem-solving and learning. It is a computer program that simulates the way people learn and make decisions by using logic, maths, and mathematics. AI is also used in Machine Learning. The process involves using mathematical models to aid a computer in learning without direct instructions. It allows a computer to learn and improve on its own based on experience.
Differences between Artificial Intelligence (AI) and Machine Learning
Let’s look at the differences between Artificial Intelligence (AI) and Machine Learning.
- Artificial Intelligence is a technology which enables machines to mimic human behaviour. Machine learning is an AI application or subset that allows devices to learn automatically from previous data, without explicit programming.
- AI aims to create intelligent computers that can solve complex problems, while ML seeks to teach machines how to use data to produce accurate results.
- AI is a broad field of study, while Machine Learning also has a large scope.
- Artificial intelligence is evident in the smart car, SIRI and Alexa. Machine learning is used in Online recommender systems and Google search algorithms.
AI and Machine Learning Benefits
We are now familiar with both terms, so let’s take a look at some of the common benefits of these technologies.
- Improved customer experience.
- Human error reduction
- Decision Making
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- Increase operational efficiency.
Which is better, Artificial Intelligence (AI) or Machine Learning (ML)?
We have now learned what machine learning and artificial intelligence are and how they differ. It isn’t easy to choose the best one, but machine learning will be the choice because of these reasons:
- Machine learning has a limited scope, while artificial intelligence is more flexible.
- Machine learning and AI both can choose the best solution.
- AI can be used with unstructured, semi-structured and structured data. ML, on the other hand, can only work with structured and semi-structured information.
- AI is more cognitive than machine learning
- AI aims to increase the probability of success, not accuracy, while ML isn’t concerned about success.
Future of Artificial Intelligence and Machine Learning
Artificial intelligence and machine learning in different industries will improve customer satisfaction and reduce errors. It will also increase operational efficiency.
