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- Branch Workflow Description: The branch workflow defines the process and practices for working with branches in a project, especially in the context of version(...) Read more
- Branch Strategy Description: The 'Branching Strategy' in version control systems refers to a structured plan that defines how branches will be used within a(...) Read more
- Branch Owner Description: The branch owner is the person responsible for managing a specific branch within a version control system, such as Git. This role(...) Read more
- Branch Tag Description: A branch tag is a marker applied to a specific branch within a version control system, such as Git, to indicate a milestone or a(...) Read more
- Branch Lifecycle Description: The Branch Lifecycle in version control systems refers to the various stages a branch goes through from its creation to its(...) Read more
- Binary Format Description: Binary format is a way of encoding data using only two symbols: 0 and 1. This system is fundamental in computing, as computers(...) Read more
- Behavioral Cloning Description: Behavioral cloning is a technique in the field of machine learning that focuses on training models to imitate the behavior of(...) Read more
- Biological Neural Network Description: A biological neural network is a set of interconnected neurons that processes and transmits information in living organisms. These(...) Read more
- Behavior Trees Description: Behavior Trees are a formal graphical representation of a behavior model used in artificial intelligence and robotics. They are(...) Read more
- Bi-directional Encoder Representations from Transformers Description: Bidirectional Encoder Representations from Transformers (BERT) is an innovative approach in the field of natural language(...) Read more
- Bimodal Distribution Description: A bimodal distribution is a type of probability distribution that has two distinct modes, meaning two peaks in its probability(...) Read more
- Boundary Value Problem Description: The boundary value problem refers to a type of mathematical problem that involves a differential equation along with a set of(...) Read more
- Biosensor Description: A biosensor is a device that uses biological materials, such as enzymes, antibodies, or cells, to detect chemical products or(...) Read more
- Bayesian classifier Description: A Bayesian classifier is a statistical classifier that applies Bayes' theorem with strong independence assumptions (naive). This(...) Read more
- Binary Cross-Entropy Description: Binary cross-entropy is a loss function widely used in the field of machine learning, especially in binary classification tasks.(...) Read more
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