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The Imperative of Model Evaluation in the Machine Learning Lifecycle The development of a machine learning (ML) model is an iterative process that extends far beyond the initial training phase. Read More …
Section 1: The Kernel Trick in Classical and Quantum Regimes 1.1 The Principle of Classical Kernel Methods and the SVM At the core of many powerful supervised machine learning algorithms Read More …
Introduction to a New Class of Neural Computation Beyond Scale: A New Philosophy for AI The field of artificial intelligence has, in recent years, been dominated by a paradigm where Read More …