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Artificial Intelligence
Data Natural Language Processing Computer Vision
NATURAL LANGUAGE PROCESSING (NLP)
Natural Language Processing (NLP) is a subfield
of AI which helps in communication between
human and computer in natural language. It
enables a computer to read and understand
data by mimicking human natural language.
NLP is used for a variety of tasks such as email
filters. For example, a lot of 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 text messaging and virtual assistants. Artificial Intelligence
DATA
Data refers to raw facts and figures that are processed and
analysedo find meaningful insights. Data plays a pivotal role in
the field of AI. Data collection is the process of gathering and
sourcing information from numerous origins, including sensors,
databases, and online sources.
The quality of data is crucial for AI applications. For effective
AI performance, data must be accurate, relevant, complete,
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 high-
quality, well-structured data to learn and make predictions. Providing incomplete, incorrect, or low-quality data
will lead to flawed, inaccurate, or unreliable results.
Data types can include numerical values (such as temperature, loan amount, etc.), categorical data (such as
gender, cocolourc.), or even unstructured text data (like doctor’s notes, prescriptions, opinion surveys, etc.).
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