Home Artificial Intelligence What is the difference between AI vs ML vs DL vs NLP?

What is the difference between AI vs ML vs DL vs NLP?

by TheDataGrab
0 comment
artificial intelligence

Today, Technology has been revolutionized in our lives and its constantly changing and progressing.

The most flourishing technologies include Artificial Intelligence, Machine Learning, Natural Language Processing, and Deep Learning.

These terms are generally used together in some contexts but do not mean the same and are related to each other in some or the other way. ML is one of the leading areas of AI which allows computers to learn by themselves and NLP is a branch of AI.

Artificial Intelligence: 

Artificial Intelligence could be that the mechanism to incorporate human intelligence into machines through a set of rules(algorithm).

AI is a combination of two words: “Artificial” meaning something not real which is made by humans or non-natural things and “Intelligence” meaning the ability to understand or think accordingly.

These are the two terms which can be together can be used to define the something which is not real which is made by humans yet intelligent. In other words, “Artifical Intelligence can be defined as the study of machine(computers) which can be trained for mimic a human brain and it has thinking capabilities”.

AI has mainly focusing on the three methods for obtained the possibilities of maximum efficiency.

  • Learning
  • Reasoning
  • Self-correction

Types of AI:

  • Artificial Narrow Intelligence (ANI)
  • Artificial General Intelligence (AGI)
  • Artificial Super Intelligence (ASI)

Machine Learning: 

Machine Learning may be defined as the study which provides the system ie., (computer) to learn automatically on its own experiences it had and improve accordingly without being explicitly programmed.

ML is an application or subset of AI. The field of machine learning is concerned with the typical questions for how to generate computer programs that can be automatically improves with their experience.

While we implementing an ML method requires a plenty of data,which is known as training data, that is fetch into the method and based on these data, the machine learning for performing a specified tasks.

The data such as text,images, audio,etc..It is also known as self-learning algorithm. It has to allow the machines to learn by themselves by their experience without any human intervention or help.

Types of Machine Learning:

  • Supervised Learning 
  • Unsupervised Learning 
  • Reinforcement Learning 

Deep Learning: 

Deep Learning is basically a sub-part of the broader family of Machine Learning which makes use of Neural Networks(similar to the neurons working in our brain) to mimic human brain-like behavior.

DL algorithms focus on information processing patterns mechanism to possibly identify the patterns just like our human brain does and classifies the information accordingly.

DL works on larger sets of data when compared to ML and prediction mechanism is self-administered by machines.

Types of fundamental network architectures:

  • Unsupervised Pre-trained Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Recursive Neural Networks

What is Natural Language Processing?

Natural Language Processing is also an AI method which can be communicate with an intelligent system by using a natural language. Natural Language Processing (NLP) and its variants Natural Language Understanding (NLU) and Natural Language Generation (NLG) are methods which learns human language to computers.

They can then use their understanding of our language to interact with us without the need for a machine language intermediary.

Difference Between Artificial Intelligence vs Machine Learning vs Deep Learning vs Natural Language Processing

Artificial intelligence (AI) is closely related to making machines intelligent and make them perform human tasks. Any object turning smart for example, washing machine, cars, refrigerator, television becomes an artificially intelligent object. Machine Learning and Artificial Intelligence are the terms often used together but aren’t the same.

ML is an application of AI. Machine Learning is basically the ability of a system to learn by itself without being explicitly programmed. Deep Learning is a part of Machine Learning which is applied to larger data-sets and based on ANN (Artificial Neural Networks).

The main technology used in NLP (Natural Language Processing) which mainly focuses on teaching natural/human language to computers. NLP is again a part of AI and sometimes overlaps with ML to perform tasks. DL is the same as ML or an extended version of ML and both are fields of AI. NLP is a part of AI which overlaps with ML & DL.

You may also like

Leave a Comment