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.

Ac auctor augue mauris augue neque gravida. A diam sollicitudin tempor id eu nisl. Lorem ipsum dolor sit amet consectetur adipiscing. Quis blandit turpis cursus in hac habitasse platea dictumst quisque. Eu non diam phasellus vestibulum lorem sed risus. Libero volutpat sed cras ornare arcu dui vivamus.

Goals of Artificial Intelligence

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


Blandit aliquam etiam erat velit scelerisque in dictum non consectetur. Dignissim sodales ut eu sem integer. In massa tempor nec feugiat nisl pretium fusce id velit. Eu lobortis elementum nibh tellus. Posuere lorem ipsum dolor sit amet consectetur. Volutpat est velit egestas dui id ornare. Nam at lectus urna duis convallis convallis tellus id interdum. Lobortis feugiat vivamus at augue eget. Tincidunt eget nullam non nisi. In hac habitasse platea dictumst. Tortor dignissim convallis aenean et. Egestas pretium aenean pharetra magna ac placerat vestibulum. Sagittis vitae et leo duis ut diam quam.


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.

Quis blandit turpis cursus in hac habitasse platea dictumst quisque. Eu non diam phasellus vestibulum lorem sed risus.

Libero volutpat sed cras ornare arcu dui vivamus. Blandit aliquam etiam erat velit scelerisque in dictum non consectetur. Dignissim sodales ut eu sem integer. In massa tempor nec feugiat nisl pretium fusce id velit.


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.

Eu lobortis elementum nibh tellus. Posuere lorem ipsum dolor sit amet consectetur. Volutpat est velit egestas dui id ornare. Nam at lectus urna duis convallis convallis tellus id interdum. Lobortis feugiat vivamus at augue eget. Tincidunt eget nullam non nisi. In hac habitasse platea dictumst. Tortor dignissim convallis aenean et. Egestas pretium aenean pharetra magna ac placerat vestibulum. Sagittis vitae et leo duis ut diam quam.

Quis blandit turpis cursus in hac habitasse platea dictumst quisque. Eu non diam phasellus vestibulum lorem sed risus.


WHAT IS DEEP LEARNING?

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Quis blandit turpis cursus in hac habitasse platea dictumst quisque. Eu non diam phasellus vestibulum lorem sed risus.

Quis blandit turpis cursus in hac habitasse platea dictumst quisque. Eu non diam phasellus vestibulum lorem sed risus.


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

Sonix - Where does Automated Speech Recognition & Natural Language Processing belong among Artificial Intelligence, Machine Learning, and Deep Learning


Post a Comment

Previous Post Next Post