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Recent items include:

  • Разбираемся в ML без воды: от базы до Attention. Часть 11: Градиентный бустинг
  • Temporal Difference Learning and Policy Gradient Optimization Fields: Engineering Native MQL5 Reinforcement Learning Arc
  • Gradient Checkpointing: Trading Compute for Memory

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habr.com /1 month ago

Разбираемся в ML без воды: от базы до Attention. Часть 11: Градиентный бустинг

В десятой части при изучении случайного леса мы наткнулись на проблему: переход от одиночного дерева к лесу частично снизил дисперсию, но вопрос со смещением остался открытым. Сего...

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mql5.com /1 month ago

Temporal Difference Learning and Policy Gradient Optimization Fields: Engineering Native MQL5 Reinforcement Learning Arc

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medium.com /1 month ago

Gradient Checkpointing: Trading Compute for Memory

Gradient checkpointing re-runs parts of the forward pass during backprop instead of keeping all intermediate activation tensors in memory…Continue reading on Data Science Collectiv...

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medium.com /19 hours ago

AI/ML Under the Hood — Part 25: Forward Propagation and Backpropagation by Hand

Following One Training Sample Through Every Step of a Neural NetworkContinue reading on The Thoughtful Engineer В»

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mql5.com /1 month ago

Non-Linear Probability Fields in Algorithmic Trading: Mathematical Rigor and Deep Learning Architectures in Live Market

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Sources covering Stochastic Gradient

habr.com

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medium.com

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mql5.com

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