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Natural Language
Processing Data Computer Vision
NATURAL LANGUAGE PROCESSING (NLP)
This is a subfield of AI which helps in communication between human and computer using natural
language. It enables a computer to read and understand data by mimicking human natural language.
This subfield of AI is used for a variety of tasks such as email filters. Many people receive a lot emails
which are useless. NLP checks the sender of the email and categorises the mails as spam or junk. NLP
also finds its use in the autocomplete and spell-check feature of word processors. NLP also proves to
be quite useful in voice-to-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
Data refers to facts and figures that are processed to find meaningful results. Data plays a pivotal role
in the field of AI. Data collection is the process of collecting and sourcing information from numerous
sources.
The quality of data is essential for AI applications. For effective AI performance, data must be accurate,
relevant, and free from errors. The accuracy of AI outcomes is heavily dependent on the quality of the
data provided. Thus, data can be considered the lifeblood of AI: an AI system relies on the data it
receives to learn and make predictions. Providing incorrect or low-quality data will lead to inaccurate
or unreliable results.
These data can be numeric (temperature, loan amount, etc.), categorical (gender, colour, etc.), or
even free text (like doctor’s notes, prescriptions, opinion surveys, etc.)
Tech Fact
The term 'Big Data' denotes extremely large or voluminous data sets that can be analyzed
computationally to reveal patterns, trends, and associations.
Domains of AI 167

