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Titlebook: Machine Learning for the Quantified Self; On the Art of Learni Mark Hoogendoorn,Burkhardt Funk Book 2018 Springer International Publishing

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樓主: 紀(jì)念性
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發(fā)表于 2025-3-23 10:24:19 | 只看該作者
Basics of Sensory Dataorm raw sensory datasets into a suitable format to enable the application of machine learning techniques. The dataset introduced in this chapter is used to illustrate the approaches explained in the remainder of the chapters.
12#
發(fā)表于 2025-3-23 13:54:43 | 只看該作者
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發(fā)表于 2025-3-23 20:56:43 | 只看該作者
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發(fā)表于 2025-3-23 22:51:20 | 只看該作者
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發(fā)表于 2025-3-24 04:12:22 | 只看該作者
Predictive Modeling with Notion of Timeurrent neural networks (including echo state networks). In addition, parameter optimization techniques that can be used to fine-tune more knowledge driven predictive temporal models (dynamical systems models) are discussed.
16#
發(fā)表于 2025-3-24 10:10:42 | 只看該作者
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發(fā)表于 2025-3-24 11:38:10 | 只看該作者
me distinctive point in time that promises ought to be kept. To say that a moral rule is objective is not to say that it is only true for some people at some point in time, though from a sociological point of view this is surely the case if the people in question believe the rule to be true. Instead
18#
發(fā)表于 2025-3-24 17:48:32 | 只看該作者
nality into the theoretical equation. So, it might be argued that practical liberalism remains too wedded to Enlightenment rationalism and too mired in foundationalist thinking to offer much theoretical solace to genuinely pluralist polities. As prelude to some concluding remarks, I want now to cons
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發(fā)表于 2025-3-24 22:51:09 | 只看該作者
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