Algorithm is mathematical logic or a set of rules used to perform calculations. Starting with an initial input (which can be zero or unvalued), logic or rules are encoded or written into the software as a series of steps to follow to perform calculations, process data or perform other functions, resulting in an output. Google is a great example of the “search” business algorithm. The searcher enters a search (or says it out loud), and Google delivers the relevant results to the searcher using the complex algorithm.
Data Lakehouse is a modern data management approach that combines the advantages of data warehouse and data lake architectures. This structure offers the ability to process both structured and unstructured data on a single platform, making data analytics and big data processing processes more efficient.
Domain Driven Design allows us to rethink the software development process by centralizing the business area. It focuses on a deep understanding of the business problem we are trying to solve before the technical details of the software and places this understanding at the heart of software design.
Model collapse refers to the permanent decline in performance of productive AI models when trained with the contents produced by previous AI models. This phenomenon is reminiscent of a widely accepted principle in AI development: a model is only as good as the data on which it is trained.
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