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AI Bias: It is a phenomenon which occurs when algorithm results are systematically biased against
a certain gender, language, race, wealth, etc.
Chatbot: It is an AI application that can mimic a real conversation with a user in their natural
language.
Clustering: It is an unsupervised machine learning technique that automatically divides the data
into clusters or groups of similar elements.
Cognitive Computing: It refers to individual technologies that perform specific tasks to enable
human intelligence.
Conflict: It can be defined as a clash between two opposing forces that creates the narrative
thread for a story.
Correlation: It is a statistical method that indicates whether a pair of variables has a linear
relationship and will change together.
Deep Learning: It is a subset of machine learning based on neural networks that permit a machine
to train itself to perform a task.
Design Thinking: It is a process to solve problems creatively by putting consumers' needs first.
Machine Learning: It is a subset of AI that includes techniques that enable machines to improve
at performing tasks with experience.
Natural Language Processing (NLP): It is an area of artificial intelligence that employs natural
language for interaction between computers and humans.
Relational Algebra: It is a set of algebraic operators and rules used to manipulate relational
tables to generate the required information.
Regression: It is a Machine Learning algorithm used to analyse the relationship among dependent
(target) and independent (predictor) variables.
Sentiment Analysis: It is also called Opinion Mining or Emotion AI, uses NLP to determine
whether data is positive, negative, or neutral.
Structured Data: It is the type of data which we interact and work with every day.
Unstructured Data: It is the type of data which neither possesses any fixed data type nor the size
is fixed.
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