Understanding the difference between AI, Machine Learning, NLP and Deep Learning

Artificial Intelligence is a popular topic of conversation these days, with terminology like ' Machine Learning ', 'Deep Learning' & ' NLP ' frequently thrown in for good measure. But what do they all imply by that? And what can you do with these types of technology?

Below, we try to explain the important parts of artificial intelligence and how they work together.

WHAT IS ARTIFICIAL INTELLIGENCE?

Artificial Intelligence refers to a set of technologies that allow machines to solve problems, make decisions, or perform tasks that are generally easy for humans, but difficult for computers.

When you hear "machine learning," "deep learning," or "natural language processing " all of these terms fall into the category of AI.

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Goals of Artificial Intelligence

• Reasoning
• Automated Learning & Scheduling
• Machine Learning
• Natural Language Processing
• Computer Vision
• Robotics
• General Intelligence

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WHAT IS MACHINE LEARNING?

We can define machine Learning as an algorithm of making systems learn, by using observations or past experience.

When you create ML in a system, you're creating a system that can learn from experience.

Models that are created can be predictive, and they may have the ability to make future predictions and come up with smart solutions in a specific condition due to their past experience.

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WHAT IS NATURAL LANGUAGE PROCESSING?

Natural Language Processing (NLP) is “the ability of machines to understand and interpret human language the way it is written or spoken”. The aim of NLP is to make computers/machines as intelligent as human beings in understanding language.

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WHAT IS DEEP LEARNING?

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DIFFERENCE BETWEEN NLP, AI, ML, DL & NN

AI or Artificial Intelligence – Building systems that can do intelligent things.
NLP or Natural Language Processing – Building systems that can understand language. It is a subset of Artificial Intelligence.
ML or Machine Learning – Building systems that can learn from experience. It is also a subset of Artificial Intelligence.
DL or Deep Learning – Building systems that use Deep Neural Network on a large set of data. It is a subset of Machine Learning.

IN CONCLUSION

Artificial Intelligence (AI) -the broad discipline of creating intelligent machines
Machine Learning (ML) -refers to systems that can learn from experience
Deep Learning (DL) -refers to systems that learn from experience on large data sets
Artificial Neural Networks (ANN) -refers to models of human neural networks that are designed to help computers learn
Natural Language Processing (NLP) -refers to systems that can understand language
Automated Speech Recognition (ASR) -refers to the use of computer hardware and software-based techniques to identify and process human voice