R is an open source programming language used for statistical analysis. Includes a command-line interface and various graphical interfaces. Popular types of algorithms are linear and nonlinear modeling, time series analysis, classification, and clustering. According to Gartner research, more than 50% of data science teams currently use R to a certain capacity. The R language competes with commercial products such as SAS and Fuzzy Logix.
In AI and machine learning projects, instead of processing raw data directly, it is necessary to make it more meaningful and processable. An important concept that comes into play at this point is Embedding.
Cloud-Native Data Platforms are data management platforms designed and optimized to work directly in cloud environments. These platforms take full advantage of the flexibility, scalability, and cost advantages of the cloud unlike traditional data infrastructures.
Federated Learning is a collaborative learning method that enables machine learning models to be trained distributed across multiple devices without user data being sent to a central server.
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