12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
GPT-3 (Generative Pre-trained Transformer 3) is a machine learning model developed by OpenAI. It is the largest machine learning model ever constructed and is designed for what is known as "general language processing," which allows machine systems to understand and respond to natural language. By using GPT-3, developers can create machine learning-based applications that support natural language input and output.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Artificial intelligence (AI) is an umbrella term for techniques that enable computer systems to solve a specific task that a human would normally do. AI systems use algorithms to mimic human intelligence by collecting, analyzing, and learning data to solve problems. AI systems can be used in many fields, from robotics to autonomous vehicles to medicine.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Cluster analysis is a descriptive statistics technique used to form similar groups of objects. It is a procedure in which data points that are similar with respect to certain characteristics are grouped together. The goal of cluster analysis is to create groups that are as homogeneous as possible. Cluster analysis can be used in various application areas such as market research, demographic analysis, medical research and credit.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Open Data is a movement that enables people to share, use and manage data. This data can come from any public or private provider, such as governments, businesses, scientists, citizens, and others. Open Data enables global collaboration and access to information that helps us solve problems. This data can be published as raw data, tables, maps, images, or videos, or it can be in specific formats.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Agile software development is an iterative and incremental software development process based on short-term goals, cyclical iterations, and a constant feedback loop. Unlike traditional waterfall methodologies, agile software development works iteratively, meaning that different aspects of the software are developed in small increments so that they can be gradually refined. The agile approach emphasizes sharing responsibility for the project between developers, customers, and other stakeholders. A culture of constant feedback, collaboration, and rapid response is encouraged.