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Natural Language
Processing Data Science Computer Vision
Natural Language Processing (NLP)
This is a subfield of AI that helps in communication between humans and computers in natural language.
It enables a computer to read and understand data by processing and understanding human language.
This subfield of AI is used for a variety of tasks, such as email filters. A lot of people receive a lot of
emails that are useless. NLP checks the sender of the email and categorises the mail as spam or junk.
NLP also finds its use in the autocomplete and spell check features of word processors. NLP is also
quite useful in voice text messaging and virtual assistants.
The human eye is estimated at 576
megapixels with complex processing,
while AI machine vision cameras can
reach up to 100 megapixels.
Data Science
Data science in AI refers to the process of collecting, analysing, and
interpreting large sets of data to enable AI systems to learn, make
predictions, and improve their performance. It involves using various
techniques, such as statistics, mathematics, and computer science, to
extract meaningful insights from data.
In AI, data science is essential because AI systems need data to learn. For example, if you want an AI to
recognise images of cats, you need to provide it with a lot of pictures of cats. The AI uses data science
techniques to analyse these images, learn the patterns that define a cat, and then use that knowledge
to identify cats in new images.
Experiential Learning Survey
Rock paper scissors is a simple game based on the data domain of AI and usually played
between 2 players in which each player simultaneously forms one of the three shapes with
an outstretched hand. These shapes are "rock", "paper" and "scissors".
Try the game: https://next.rockpaperscissors.ai/
Premium Edition-VIII
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