Bayesian Neural Networks

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• In-Memory Databases: In-memory databases are database management systems that primarily rely on main memory for computer data storage instead of a disk storage mechanism. This allows for faster data access and retrieval, as data is stored and accessed directly ... Read More >>
• K-fold: K-fold is a cross-validation technique used in machine learning to evaluate the performance of a model. It involves dividing the dataset into K equal subsets or folds, where K-1 folds are used for training the model and the remaining fold i ... Read More >>
• Agility: Agility in Data Science refers to the ability of an organization to quickly and efficiently adapt to changes in data, technology, and business requirements. It involves the use of agile methodologies and practices to enable teams to deliver ... Read More >>