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- Learning algorithms Description: Learning algorithms are sets of rules and procedures that allow devices and systems to learn from the data they process, improving(...) Read more
- Logistics Data Description: Logistics data encompasses all data related to the movement and storage of goods and services. This data is fundamental for(...) Read more
- Learning Rate Description: The learning rate is a fundamental hyperparameter in the training of machine learning models, especially in neural networks. This(...) Read more
- Local Data Description: Local data refers to data that is stored on a local device or server, rather than being stored in the cloud. This type of storage(...) Read more
- Logarithmic Scale Description: A logarithmic scale is a non-linear scale used for a wide range of values, where each unit increase on the scale represents a(...) Read more
- Link Prediction Description: Link Prediction is a fundamental task in graph theory and machine learning that focuses on determining the likelihood of an edge(...) Read more
- Label Propagation Description: Label propagation is a semi-supervised learning technique that allows for the assignment of labels to unlabeled data based on(...) Read more
- Locality Sensitive Hashing Description: Locality Sensitive Hashing (LSH) is a probabilistic dimensionality reduction technique that allows grouping high-dimensional data(...) Read more
- Labeling System Description: A labeling system is a framework for assigning and managing labels to data for better organization and retrieval. This system(...) Read more
- Layered Data Architecture Description: The layered data architecture is a design pattern that separates data management into different layers for better organization and(...) Read more
- Local Mode Description: The 'Local Mode' in Apache Spark is a configuration that allows Spark applications to run on a single machine, without the need for(...) Read more
- Logical Plan Description: The 'Logical Plan' is an abstract representation of a query that describes data transformations in data processing systems like(...) Read more
- Long Running Job Description: A long-running job in the context of distributed computing refers to a computational process that requires a significant amount of(...) Read more
- List Comprehension Description: List comprehension in Python is a technique that allows for the concise and efficient creation of lists using a single line of(...) Read more
- Language Bindings Description: Language bindings in the context of data processing systems refer to the interfaces that allow different programming languages to(...) Read more
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