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- Orphan Branch Description: An orphan branch in Git is a branch that has no parent commit, meaning it was created independently and does not derive from any(...) Read more
- Overtime pay Description: Overtime pay refers to the financial compensation that employees receive for time worked beyond their regular working hours. This(...) Read more
- Object Recognition Description: Object recognition is the ability of a system to identify and classify objects within an image or video. This technology relies on(...) Read more
- Optimization Software Description: Optimization software refers to programs designed to solve optimization problems, which are situations where the goal is to(...) Read more
- Open Source AI Description: Open Source AI refers to artificial intelligence software whose source code is accessible to anyone. This allows developers,(...) Read more
- Optimization Problem Solving Description: Optimization problem solving is the process of finding the best solution to an optimization problem, which involves maximizing or(...) Read more
- Operational AI Description: Operational AI refers to artificial intelligence systems that are actively used in operational processes. These systems are(...) Read more
- Object Tracking Description: Object tracking is the process of locating and following an object in a sequence of frames in computer vision. This process(...) Read more
- Optimization Techniques in AI Description: Optimization techniques in artificial intelligence (AI) are methods specifically designed to improve the performance and efficiency(...) Read more
- Optimization in Machine Learning Description: Optimization in machine learning refers to the process of adjusting a model's parameters to improve its performance on specific(...) Read more
- Out-of-Bag Error Description: The 'Out-of-Bag Error' (OOB) is a metric used in the field of machine learning to estimate the accuracy of a prediction model. It(...) Read more
- Optimal Transport Description: Optimal transport is a mathematical theory that focuses on comparing probability distributions, seeking the most efficient way to(...) Read more
- Orthogonalization Description: Orthogonalization is the process of transforming a set of vectors in a vector space so that they become orthogonal to each other,(...) Read more
- Optimal Subset Selection Description: Optimal subset selection is a fundamental process in machine learning that involves identifying a subset of features or variables(...) Read more
- Online Optimization Description: Online optimization is an approach that allows solutions to be updated in real-time as new data is received. This method is(...) Read more