Machine Learning (Paper)
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a guide for academic researchers – La Biblia de la IA – The Bible of AI™ Journal
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🔘 Paper page: arxiv.org/abs/2108.02497?fbclid=IwAR3MNl5qa5ysUoNlkEQE4hSXNGoEGwtCClMNcJDXH1etKHNcCweDRTXW_tY Abstract «This document ...

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A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
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Abstract «The rapid recent progress in machine learning (ML) has raised a number of scientific questions that challenge the longstanding ...

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A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms – La Biblia de la IA – The Bible of AI™ Journal
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🔘 Paper page: arxiv.org/abs/2108.00783 Abstract «Counterfactual explanations provide means for prescriptive model explanations by ...

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Learning without Pointillistic Labels using Data Programming – La Biblia de la IA – The Bible of AI™ Journal
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🔘 Paper page: arxiv.org/abs/2108.10921 Abstract Most advanced supervised Machine Learning (ML) models rely on vast amounts of ...

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Do Vision Transformers See Like Convolutional Neural Networks? – La Biblia de la IA – The Bible of AI™ Journal
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🔘 Paper page: arxiv.org/abs/2108.08810v1 Abstract «Convolutional neural networks (CNNs) have so far been the de-facto model for visual ...

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