Artificial Intelligence and Machine Learning are the buzzwords of the tech world. Since both the terms are based on statistics and maths, people often get confused between them.   Every piece of tech content remains unfinished without the mention of artificial intelligence and machine learning. Today, the terms are equally hyped and are interchangeably used to explain an intelligent system or software. In fact, when we dive deeper into the broader branches of technology (like Big Data or Analytics), both terms frequently appear on the front face. As a result, most people use the terms synonymously—which leads to confusion.   But, don’t worry! In this blog, we will cover the major differences between artificial intelligence and machine learning to eliminate this very confusion. However, before we proceed with learning the differences, let me help you grasp a broader understanding of what artificial intelligence and machine learning are.   Artificial Intelligence  To begin with, artificial intelligence is a computer’s ability to imitate or mimic human intelligent behavior and perform tasks the way humans do. Basically, it performs tasks that require human intelligence such as thinking, reasoning, applying logic, and essentially, making own decisions.   “Artificial intelligence would be the ultimate version of Google. The ultimate …

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