Data-driven

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• Stratified Sampling: Stratified Sampling is a sampling technique in which the population is divided into homogeneous subgroups called strata, and a random sample is taken from each stratum. This technique ensures that each stratum is represented in the sample, ... Read More >>
• Machine Learning-based Matching: Machine Learning-based Matching refers to the process of using machine learning algorithms to match two or more datasets based on their similarities and differences. This process involves training a machine learning model on a set of labele ... Read More >>
• Network Traffic Analysis: Network Traffic Analysis is the process of capturing, recording, and analyzing network traffic to identify patterns, anomalies, and potential security threats. It involves the use of various tools and techniques to monitor and inspect netwo ... Read More >>