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News / Blog: #process

What is an iteration?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
An iteration is a process of repetition used to solve a problem or perform a specific task. In programming, an iteration is used to execute a certain set of instructions several times. It is a basic technique used in many programming languages.
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What is bootstrapping?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Bootstrapping is a process that allows a company to start and operate a business with a limited amount of funding and resources. It is a way to build and operate a business without the need for outside investors or loans. Instead, savings, personal investment, and sales are used to fund the business.
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What are Markov chains?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Markov chains are a mathematical approach used to model random behavior. They are often used to simulate random processes based not only on the current situation, but also on previous events. They use probability distributions to predict how likely certain events are. This technique is commonly used in fields such as natural sciences, finance, artificial intelligence and data analysis.
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What is standardization (statistics)?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Standardization is a statistical process in which a given set of numbers is converted into a new set of numbers that all have the same mean and standard deviation. The newly generated set of numbers is called standardized data. It is often used to compare different sets of data or to put data into a more homogeneous format.
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What is Exploratory Data Analysis?

12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Exploratory data analysis, also called exploratory data analytics or exploratory data mining, is a method for systematically exploring and processing data to gain new knowledge and insights. It is an iterative process that allows the researcher to form hypotheses, identify patterns and relationships, and understand how data is related and how it impacts new findings and insights.
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