Things to Know about Natural Language Processing, Machine Learning and Artificial Intelligence

Things to Know about Natural Language Processing, Machine Learning and Artificial Intelligence

Natural Language Processing (NLP), Artificial Intelligence (AI), and Machine learning (ML) are certainly used interchangeably, so to differentiate among the three; you have to clarify the concepts.

First, you must know that NLP and machine learning both are subsets of Artificial Intelligence.

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Things to know about Natural Language Processing, Machine Learning and Artificial Intelligence: Natural Language Processing (NLP): MLP is a branch of AI and an ML subfield that enables computers to understand and process human language. It aims to develop a system that can automatically make sense of the text and perform tasks like translation, spell check, and topic

classification. But to automate the above duties and deliver accurate responses, you will need machine learning.

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Machine Learning (ML): Machine learning applies algorithms that teach machines how to learn and improve from previous experiences without being distinctly programmed to work automatically.

Artificial Intelligence (AI): AI is a descriptive term for machines that can replicate human intelligence. AI is the simulation of human intelligence in programmed machines to think like humans and copy their actions. The term AI can also be applied to any machine that shows the characteristics of a human mind, such as learning and problem-solving ability.

Conclusion: Natural language processing (NLP) and machine learning (ML) are both integral parts of Artificial Intelligence (AI). For example - AI chatbots, use NLP to interpret what user say and what they expected to do and ML to deliver more accurate responses automatically by learning from past interactions.

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