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Machine learning : a probabilistic perspective

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IEEE

Artificial Intelligence (AI), Machine Learning (ML) & Deep Learning (DL): A Comprehensive Overview on Techniques, Applications and Research Directions

Abstract: The subfield of artificial intelligence (AI) within computer science aims to create intelligent machines capable of performing tasks typically requiring human intelligence. This foundational ...
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Python machine learning : unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics

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Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

Abstract: Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional spatial ...