Meta Data is data that describes other data in a structured, consistent form, so that large amounts of data can be collected, stored, and analyzed over time.
Metadata is used to store big data in data warehouses for easy retrieval and management. A data warehouse uses structured data in data sources that are standardized, cleaned, and consistent. Metadata provides uniformity in the collection and storage of this data, so business owners and data analysts can easily access and derive insights from the data.
Effective management of meta data is a necessary part of robust and flexible big data “ecosystems,” that is, it helps companies manage their data assets efficiently and makes that data available to data scientists and other analysts.
In the field of artificial intelligence and machine learning, various sampling methods are used to generate new data using the information learned by the models.
No code is the next step in the stable completion of the development of intelligent software and application solutions. The development method also allows process specialists who develop without using code but have no IT background or expertise to design applications and software.
Backpropagation is a fundamental algorithm used in the learning process of artificial neural networks. This algorithm allows neural networks to learn how to optimize the weights needed to solve a problem.
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