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What is a mathematical model?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A mathematical model is a mathematical system that mimics a real-world situation. It can use various mathematical techniques such as differential equations, statistics, probability theory, and others to solve complex problems or make predictions. Mathematical models are used in many fields such as finance, economics, ecology, astronomy and meteorology.
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What is predictive analytics?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Predictive analytics is a method of data analysis that enables companies to predict how certain events are likely to develop. It uses various mathematical models to analyze existing data to make predictions. Predictive analytics can be used in many industries, for example, in the financial industry to predict the development of the stock market, or in the retail industry to predict the demand for certain products.
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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 a model calculation?

12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A model calculation is a mathematical formula used to solve a particular problem or answer a particular question. It can be used to predict a certain outcome, calculate a certain risk, make a certain decision, or demonstrate a certain behavior. Modeling can be applied in many different fields, including finance, economics, engineering, science, and computer science.
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What is data analysis?

12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data analytics is a technique used to gain insights from data through research and application of mathematical, statistical, and algorithmic techniques. Data analytics is commonly used in many different areas of business and academia to make decisions and gain new insights. It can help improve efficiency and productivity by identifying problems and suggesting potential solutions.
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