Deductive Reasoning

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• Batch Size: Batch size refers to the number of training examples utilized in one iteration. In other words, batch size is the number of samples that will be propagated through the neural network during a single forward/backward pass. The batch size is ... Read More >>
• Distributed Machine Learning: Distributed Machine Learning is the process of training machine learning models using multiple computing resources across a network. It involves breaking down large datasets into smaller subsets and distributing them across multiple machine ... Read More >>
• Anomaly-based IDS: Anomaly-based Intrusion Detection System (IDS) is a type of security system that uses machine learning algorithms to detect abnormal behavior in network traffic, system calls, or user activity. Anomaly-based IDS works by creating a baseline ... Read More >>