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• Trained Model Parameters: Trained model parameters refer to the weights and biases that are learned by a machine learning algorithm during the training process. These parameters are adjusted by the algorithm to minimize the difference between the predicted output an ... Read More >>
• Apache Spark: Apache Spark is an open-source distributed computing system used for big data processing and analytics. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Spark supports multiple pro ... Read More >>
• Data-intensive Applications: Data-intensive applications are software systems that are designed to process and analyze large volumes of data. These applications typically require specialized infrastructure and tools to handle the scale and complexity of the data. Data- ... Read More >>