Well, the contribution of science and technology is simply undeniable. We can’t overlook its importance or application in our daily life. It not only saves our time but also minimises our efforts.
Artificial Intelligence, Machine Learning and Natural Language Processing are the most trending and cutting-edge technologies. Most often, people get confused with the concept of these three terminologies. Majority of us often think Artificial Intelligence and Machine Learning both are the same. However, in reality, it is not like that.
Well, to resolve the doubts or to clear up confusion, we are going to discuss the differences between AI, ML and NLP. The major differences will help you better understand how these technologies differ from each other.
Let us first discuss Artificial Intelligence. It is a combination of two terms, i.e. artificial and intelligence. It means something that is not real yet intelligent. We can define it as the creation of an intelligent machine that can work or function like humans. The main objective of AI is to create an intelligent system that can learn and perform difficult tasks.
Currently, AI is becoming a game-changer in the fields of healthcare, finance, agriculture, gaming, chatbots, autonomous vehicles, data security, and a lot more.
It is a subfield of artificial intelligence. As the name suggests, a machine learns to perform different tasks in this field. Yes, to function or act intelligently, machines are required to learn like humans. Let us understand how machine learning works. A data is fed into the machine as input and based on this data, the machine can learn to do different tasks. In simple words, we teach machines with data input to perform a specific task or to give accurate output.
Although it sounds like both AI and ML work like the same, it is not the case. Artificial intelligence works based on intelligence or reasoning, i.e. to solve complex problems or explore optimal solutions. However, machine learning functions based on previous experiences. Its emphasis on accuracy, rather than finding optimal solutions.
If we say ML is an incredible breakthrough in the field of technology, then nothing is wrong about that. Machine learning is no doubt doing wonders in the field of customer service, sales and marketing, Google search algorithms, healthcare, financial services, etc.
Let us have a look at a few examples of machine learning that we use, but we don’t even know that they are driven by ML algorithms:
NLP is also a subfield of Artificial Intelligence. And, we are bound to say that it is one of the most challenging and revolutionary approaches in the field of AI. You will be amazed to know that a machine can speak, listen, write, and understand human language. Yes, it is possible with NLP.
We can define NLP as a field of artificial intelligence that can enable computers or machines to not only comprehend and interpret human language but also write or speak. It is possible when we teach machines the basics of grammar and syntax or how a language works. The actual meaning of a keyword also matters a lot, because it is imperative to understand the exact word along with its meaning to give a natural response.
Natural Language Processing (NLP) is used in a wide range of applications. Here are a few of them:
Well, hopefully, the differences will give you a clear idea or clear up all your confusion. You also realise how these technologies and their diverse range of applications are transforming different fields. All in all, we can say that AI and its subfields offer convenience, accuracy, speed, security and assurance to our lives.