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- MapReduce InputSplit Description: InputSplit is a fundamental concept in the MapReduce framework used in the Hadoop ecosystem. It is defined as a logical(...) Read more
- MapReduce OutputCollector Description: OutputCollector is a fundamental interface in the MapReduce ecosystem, designed to facilitate the collection of output data(...) Read more
- MapReduce Local Mode Description: The Local Mode of MapReduce is a configuration where MapReduce jobs run on a single machine, allowing developers to perform testing(...) Read more
- MapReduce Cluster Mode Description: The Cluster Mode of MapReduce is a configuration where data processing jobs are executed on a distributed cluster of machines. This(...) Read more
- MapReduce Distributed Cache Description: The Distributed Cache of MapReduce is a mechanism designed to cache files that are necessary for MapReduce tasks, thereby(...) Read more
- MapReduce Shuffle Phase Description: The Shuffle phase in MapReduce is a crucial process that occurs between the mapping and reducing stages. During this phase, the(...) Read more
- MapReduce Reduce Phase Description: The Reduce phase in MapReduce is a crucial component of the programming model that allows for the processing of large volumes of(...) Read more
- MapPartitions Description: MapPartitions is a transformation in Apache Spark that allows applying a function to each partition of a dataset. This operation is(...) Read more
- MinMaxScaler Description: MinMaxScaler is a feature scaling technique used in data preprocessing, especially in the context of machine learning and data(...) Read more
- Multiclass Classification Description: Multiclass classification is a machine learning task where the goal is to predict the class of instances belonging to multiple(...) Read more
- Missing Values Description: Missing values refer to data entries that are not recorded or are absent in a dataset. This phenomenon is common in various fields,(...) Read more
- Mean Squared Error Description: Mean Squared Error (MSE) is a statistical metric used to measure the accuracy of a prediction model. It is calculated as the(...) Read more
- Multinomial Logistic Regression Description: Multinomial logistic regression is an extension of logistic regression used to address multiclass classification problems. Unlike(...) Read more
- Mean Absolute Error Description: Mean Absolute Error (MAE) is a statistical metric used to evaluate the accuracy of a predictive model. It is calculated as the(...) Read more
- Model Interpretation Description: Model interpretation is a fundamental process in the field of explainable artificial intelligence (XAI), which seeks to unravel how(...) Read more
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