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- Gtid_set Description: The 'gtid_set' is a set of GTIDs (Global Transaction Identifiers) that represent transactions in database replication, specifically(...) Read more
- Gtid_unsafe Description: The term 'gtid_unsafe' refers to transactions in a database replication system that are not safe for the use of GTID (Global(...) Read more
- Gtid_unsafe_trans Description: GTID-unsafe transactions refer to those operations in a database that cannot be reliably replicated in a GTID-based replication(...) Read more
- Gtid_unsafe_trans_count Description: The count of transactions that are unsafe for GTID replication refers to the number of transactions on a database server that(...) Read more
- Gtid_unsafe_trans_list Description: The 'gtid_unsafe_trans_list' refers to a set of transactions in a database system that are not safe for replication using Global(...) Read more
- Gtid_unsafe_trans_set Description: The term 'gtid_unsafe_trans_set' refers to a set of transactions in a database system that are not safe for replication using(...) Read more
- Generator Description: A generator is a function or process that creates data or outputs in a database. In the context of software development, a(...) Read more
- Genetic Algorithms Description: Genetic algorithms are search heuristics that mimic the process of natural selection, used to solve complex optimization and search(...) Read more
- Gaussian Mixture Model Description: The Gaussian Mixture Model (GMM) is a statistical approach that assumes that the observed data are generated from a combination of(...) Read more
- Gradient Descent Description: Gradient descent is a fundamental optimization algorithm in the field of machine learning and statistics. Its main goal is to(...) Read more
- Gibbs Sampling Description: Gibbs Sampling is a Markov Chain Monte Carlo (MCMC) algorithm used to obtain a sequence of observations from a complex probability(...) Read more
- Generalized Linear Model Description: The Generalized Linear Model (GLM) is an extension of linear regression that allows for response variables that do not necessarily(...) Read more
- Gini Coefficient Description: The Gini Coefficient is a statistical dispersion measure used to represent the income distribution among the residents of a nation.(...) Read more
- Graphical Model Description: A graphical model is a probabilistic model used to represent the conditional dependencies between random variables. These models(...) Read more
- Gated Convolutional Network Description: A Gated Convolutional Network (GCN) is a type of neural network that incorporates gating mechanisms to regulate the flow of(...) Read more