Machine learning and other gibberish
See also: https://sharing.leima.is
Archives: https://datumorphism.leima.is/amneumarkt/
#forecasting

Hyndman's new book

https://otexts.com/fpppy/
Otexts
Forecasting: Principles and Practice, the Pythonic Way
forecasting
#forecasting

Created some sections on forecasting with trees. This first draft provides some first steps to applying trees to forecasting problems as well as some useful theories about tree-based models.

https://dl.leima.is/trees/tree.basics/

https://dl.leima.is/notebooks/tree_darts_random_forest/
forecasting
#ml #forecasting


Liu, Yong, Haixu Wu, Jianmin Wang, and Mingsheng Long. 2022. “Non-Stationary Transformers: Exploring the Stationarity in Time Series Forecasting.” ArXiv [Cs.LG], May. https://doi.org/10.48550/ARXIV.2205.14415.

https://github.com/thuml/Nonstationary_Transformers
ml forecasting
 
 
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