12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data Driven is a term that refers to a method of decision making that is based on data. With this method, data is used to make the best possible decision for a given problem. Data is used to identify certain trends that can lead to better outcomes. This is a popular method for achieving better results in many industries, including marketing, finance, and science.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Natural Language Processing (NLP) is a subfield of Artificial Intelligence that deals with natural language processing. It deals with the analysis, processing and generation of natural language by computers. The goal of NLP is to enable computers to understand and process natural language. For example, they can check text, recognize the meaning of a sentence, or analyze the mood in a text.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Software architecture is the structure of the software that forms the basis for the development of a program or system. It defines the basic components of the system, the way in which these components interact with each other and the design principles according to which the system is created. Software architecture can be considered on both a technical and a business level, and both aspects must be combined in order to develop a successful system.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Time series analysis is a statistical method used to study changes in a given datum over a period of time. This method is often used to understand how different variables change over time and can be used, for example, to study trends, patterns, or seasonal variations.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Pattern recognition is a subfield of Artificial Intelligence that deals with the automatic detection of patterns in data. This technique is used to analyze and classify patterns in data to make decisions, identify trends, and make predictions. Pattern recognition can also be used to distinguish between normal and undesirable images, languages, patterns, and designs to prevent malicious actors or harmful content from gaining access to the system.