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• Course syllabus: Category theory for Machine Learning
  simple, precise, and short explanations of ML principles in a diagram-plot language.
  2 KB (318 words) - 13:51, 3 May 2024
• Week 1
  #* Development for ML: [https://pytorch.org/ PyTorch] ...p://www.machinelearning.ru/wiki/images/archive/f/fc/20150209132356%21Voron-ML-Intro-slides.pdf Introduction to Matlab]].
  10 KB (1,401 words) - 16:53, 19 February 2024
• Mathematical forecasting
  * Diagrams for ML and PLS
  12 KB (1,593 words) - 22:26, 11 February 2024
• Todo list
  #* Development for ML: PyTorch ...p://www.machinelearning.ru/wiki/images/archive/f/fc/20150209132356%21Voron-ML-Intro-slides.pdf Introduction to Matlab]].
  26 KB (3,554 words) - 13:05, 17 February 2024
• New page
  #* Разработка в области ML: Pytorch
  169 KB (4,868 words) - 13:05, 21 April 2024
• Project archive
  ...le device, or get model data from the dataset [https://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones UCI HAR] ..., Ryi, 2014) and (Owen, Maximov, Chertkov, 2017) and their applications to ML/DL for physical problems
  619 KB (87,270 words) - 23:02, 14 February 2024