Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Abstract: With the rapid progression of communication and localisation of big data over billions of devices, distributed Machine Learning (ML) techniques are emerging to cater for the development of ...
Abstract: Optimization plays a vital role in science and engineering. Nonlinear problems demand optimized solutions, traditional Algorithms fail to solvethese kinds of problems. A Recent trend is to ...
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