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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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