Data science, artificial intelligence (AI), and Machine Learning(ML) are the big fat words that fall under the category of the same domain, still, they each have unique uses and definitions.

🔵 Let’s have a look at the definitions of these technologies one after the other.

Data science is a broad field of studying data systems and processes aimed at maintaining data sets and deriving meaning from them. Data scientists use tools, applications, principles, and algorithms to make sense of random data clusters.

Artificial intelligence aims at enabling machines to execute reasoning by replicating human intelligence. Since the main objective of AI processes is to teach machines from experience, feeding the correct information and self-correction is crucial.

Machine learning involves observing and studying data or experiences to identify patterns and set up a reasoning system based on the findings. This particular wing of AI aims to equip machines with independent learning techniques so that they don’t have to be programmed.

Even though these technologies overlap in one way or another, their specific services differ and have their respective application areas. It is evident to say that these three are equally important in the tech world.

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