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1. medium.com › 30-days-of-machine-learning › day-5-entropyDay 5 — Entropy, Relative Entropy, and Cross Entropy - Medium

   medium.com › 30-days-of-machine-learning › day-5-entropy

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   21. Dez. 2018 · Today we’ll focus on the theory of entropy. Understand the intuition of entropy, and how it relates to logistic regression. We’ll cover from entropy, KL divergence, to cross entropy. Entropy is…

2. www.geeksforgeeks.org › gini-impurity-and-entropy-inML | Gini Impurity and Entropy in Decision Tree - GeeksforGeeks

   www.geeksforgeeks.org › gini-impurity-and-entropy-in

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   24. Feb. 2023 · Machine Learning is one of the most highly demanded technologies that everybody wants to learn and most companies require highly skilled Machine Learning engineers. In this domain, there are various machine learning algorithms developed to solve complex problems with ease. These algorithms are highly automated and self-modifying, as they continue to improve over time with the addition of an ...

3. www.rebellionresearch.com › demystifying-entropy-itsDemystifying Entropy: Its Critical Role in Machine Learning

   www.rebellionresearch.com › demystifying-entropy-its

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   13. Feb. 2024 · Entropy in machine learning. Entropy works similarly with machine learning. Here, it’s a measure of disorder within a dataset that’s used to fuel a machine learning algorithm. Let’s use a short example. Imagine you have a set of data with different classes and categories. Thanks to entropy, you can classify the uncertainty associated with ...

4. towardsdatascience.com › entropy-regularized-reinforcementEntropy-Regularized Reinforcement Learning Explained

   towardsdatascience.com › entropy-regularized-reinforcement

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   26. Okt. 2023 · Partial code for entropy-regularized reinforcement learning, in this case extending the discrete policy gradient algorithm. Consider a set of slot machines with mean payoffs μ=[1.00,0.80,0.90,0.98] and st. dev. σ=0.01 for all machines.

5. towardsdatascience.com › understanding-binary-cross-entropyUnderstanding binary cross-entropy / log loss: a visual...

   towardsdatascience.com › understanding-binary-cross-entropy

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   21. Nov. 2018 · I truly hope this post was able shine some new light on a concept that is quite often taken for granted, that of binary cross-entropy as loss function. Moreover, I also hope it served to show you a little bit how Machine Learning and Information Theory are linked together.

6. www.nature.com › articles › s41524/022/00779-7Composition design of high-entropy alloys with deep sets learning

   www.nature.com › articles › s41524/022/00779-7

   28. Apr. 2022 · First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation. Acta Mater. 181 , 124–138 (2019). Article CAS ...

7. proceedings.mlr.press › v80 › haarnoja18bProceedings of Machine Learning Research

   proceedings.mlr.press › v80 › haarnoja18b

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   Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor. Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, Sergey Levine. Proceedings of the 35th International Conference on Machine Learning , PMLR 80:1861-1870, 2018.