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- Main Database File Description: The main database file is the fundamental component where SQLite stores all the data of a database. This file, which typically has(...) Read more
- Multi-indexing Description: Multi-indexing is a technique used in databases to improve query performance by creating multiple indexes on one or more columns of(...) Read more
- Multi-version Concurrency Control Description: Multiversion concurrency control (MVCC) is a database management technique that allows multiple transactions to occur(...) Read more
- Multi-table Join Description: The union of multiple tables is a query that combines rows from two or more tables based on a related column. This process is(...) Read more
- Multi-dimensional Array Description: A multidimensional array is a data structure that allows storing data in more than one dimension, facilitating the organization and(...) Read more
- Materialized View Log Description: A materialized view log is an essential component in many database systems that allows for the efficient storage of the results of(...) Read more
- Metadata Standards Description: Metadata standards are agreed-upon guidelines that enable the creation and management of metadata in a coherent and structured(...) Read more
- Mean Description: The mean is the average value of a set of numbers, commonly used in statistical analysis. It is calculated by summing all values in(...) Read more
- Min-max Scaling Description: Min-max scaling is a normalization technique that transforms data to a fixed range, typically between 0 and 1. This method is based(...) Read more
- Model Complexity Description: Model complexity refers to the number of parameters that a machine learning model has, which can significantly influence its(...) Read more
- Model Interpretability Description: Model interpretability refers to the degree to which a human can understand the cause of a decision made by a machine learning(...) Read more
- Missing Data Description: Missing data refers to values that are not recorded or are absent in a dataset. This phenomenon can occur for various reasons, such(...) Read more
- Model Selection Description: Model Selection in the context of machine learning refers to the critical process of choosing the most suitable model from a set of(...) Read more
- Modeling Techniques Description: Modeling techniques are methods used to create models that facilitate data analysis, encompassing statistical and machine learning(...) Read more
- Multi-Variate Regression Description: Multivariate regression is a statistical technique that models the relationship between multiple independent variables and a(...) Read more
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