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Discretization is a fundamental preprocessing technique in data analysis and machinelearning, bridging the gap between continuous data and methods designed for discrete inputs. appeared first on Analytics Vidhya.
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Linear algebra is a cornerstone of many advanced mathematical concepts and is extensively used in data science, machinelearning, computer vision, and engineering. appeared first on Analytics Vidhya. One of the fundamental concepts in linear algebra is eigenvectors, often paired with eigenvalues.
It is crucial to probability theory and a foundational element for more intricate statistical models, ranging from machinelearning algorithms to customer behaviour prediction. appeared first on Analytics Vidhya. In this article, we will discuss the Bernoulli distribution in detail.
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Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. AWS has made the decision to discontinue Kinesis Data Analytics for SQL, effective January 27, 2026.
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