Difference between AI, Machine Learning and NLP By Searchicas
The world is abuzz with technologies such as Artificial Intelligence, Machine Learning and Natural Language Processing. Before we delve into why these technologies have become the talk of town and the kind of impact they will have in the future, as well as the difference between each of them. It is important to define each of the mentioned technologies to understand what they exactly mean.
What is Artificial Intelligence? Artificial intelligence has made inroads into almost all kinds of industries. The most popular being home automation, self-driving cars or digital assistants. The influence of AI can be gauged by the fact that has arrived on the most basic and humble keyboard turning into a smart keyboard  that gives you suggestions based on your intent, in real time, as you type.
What is Machine Learning? As per SAS, machine learning is a method of data analysis that automates model building. It is a branch of artificial intelligence based on the idea that machine should be able to learn and adapt through experience.
What is Natural Language Processing? Natural Language Processing is the ability of computers or machines to use algorithms to comprehend commonly spoken language or text used by humans. Natural Language Processing (NLP) was formulated to build software that generates and understand natural languages so that a user can have natural conversations with his computer instead of through programming or artificial languages like Java or C.
Conclusion Artificial intelligence is largely dependent on ML and NLP.  Artificial intelligence as a technology requires machine or computers to learn to assimilate information and then comprehend it as a human would do in a similar situation. This can only be made possible by applying machine learning to computer systems that will use similar sets of data from different sources, assimilate the data and then comprehend that data, very similar to how a human would.
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