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• Master-Slave Replication: Master-Slave Replication is a technique used in data science and artificial intelligence to replicate data from a master database to one or more slave databases. In this technique, the master database is the primary database that receives a ... Read More >>
• Evaluation Metrics: Evaluation metrics are quantitative measures used to assess the performance of a machine learning model. These metrics are used to evaluate how well the model is performing in terms of accuracy, precision, recall, F1 score, and other releva ... Read More >>
• Reliability Engineering: Reliability Engineering is a sub-discipline of Data Science that focuses on ensuring the dependability and availability of systems and processes. It involves the use of statistical methods, machine learning algorithms, and other analytical ... Read More >>