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DATA SCIENCE
DATA SCIENCE
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Natural Language Processing

Natural language processing or NLP is a branch of Artificial Intelligence that combines interactions between computers and human (natural) languages.

Natural language processing uses machine learning in order to read, decrypt, understand, and make sense of the human languages in a way that is useful.

NPL is used many areas, such as:

  • Language translation applications such you find with Google Translate
  • Word Processors such as Microsoft Word and Grammarly, which employ NLP to check for grammatical accuracy.
  • Interactive Voice Response (IVR) applications used in call centers to respond to certain users’ requests, as well as text to speech commands.
  • Personal assistant applications such as OK Google, Siri, and Alexa.

 

In this category, you can find a vast collection of resources on NPL, and understand how it works in-depth as well as where it is applied.

6 months agoDecember 15, 2020
Natural Language Processing

Understanding BERT

Insufficient training data is arguably the most challenging issue faced by natural language processing, better known as NLP. For those who do not know,...

by Data Science Team
1 year agoNovember 15, 2020
Natural language processing
Natural Language Processing

An In-Depth Guide to Natural Language Processing (NLP)

“In recent years, NLP has witnessed several breakthroughs in helping computers understand human language,” according to Leand Romaf, a software engineer and AI expert....

by Data Science Team
Natural Language Processing

MNIST database

the MNIST database (Changed National Organization of Benchmarks and Innovation database) is an enormous database of manually written digits that is normally utilized for...

by Data Science Team 1 year agoDecember 15, 2020
Natural Language Processing

Word Embedding

When a child is born, it requires some time to develop the ability to speak and understand. Children only learn the language that people...

by Data Science Team 1 year agoDecember 2, 2020
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