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What is a questionnaire?

12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A questionnaire is a document that contains a series of questions that a person must answer. Questionnaires are often used to collect information about a specific person or group. They can also be used to conduct research to explore and understand certain phenomena. Questionnaires can be conducted in paper form or online.
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What is programming/ coding?

12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Programming is the art of writing logical instructions that a computer can execute. It is a process of using algorithms to write a program that can perform specific tasks. This includes defining the logic, using different programming languages, and communicating with the computer.
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What is semantic analysis?

12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Semantic analysis is a technique used to understand the meaning of a text or language. It involves breaking down a sentence into its constituent parts and examining the relationships between them. It assumes that the meaning of a sentence emerges from the words and their semantic relationships, rather than from the mere sequence of words. Semantic analysis can also be applied to other types of texts, such as images or videos, to understand the meaning and context.
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What is an algorithm?

12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
An algorithm is a step-by-step procedure used to solve specific tasks. An algorithm is a set of well-defined instructions involving a series of steps that must be followed to solve a particular problem. Algorithms can be used in any field where computers are used, from mathematics to artificial intelligence.
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What is linear regression?

12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Linear regression is a simple model of statistical analysis used to predict values by establishing a linear relationship between one variable (dependent) and several other variables (independent). It involves fitting a linear equation to the observed data points to minimize the least square deviation between the observed data points and the fitted linear function.
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