machine learning是计算机科学和人工智能的一个子领域,用于构建可以从数据中学习到model,而不需要显示地编程学习rule statistical model:是数学的一个分支,用于发现多个变量之间的关系,从而可以预测输出 diffrent eras(不同时代的产物) statistical modelling已经存在几世纪的时间了,而machine learning实际上从1990年代才变得...
review the performance of machine learning (ML) methods compared with conventional statistical models (CSMs) for predicting readmission and mortality in patients with heart failure (HF) and to present an approach to formally evaluate the quality of studies using ML algorithms for prediction modelling....
(2019). Machine learning vs statistical methods for time series forecasting: Size matters. arXiv preprint arXiv:1909.13316. Dawid, A. P. (1984). Present position and potential developments: Some personal views statistical theory the prequential approach. Journal of the Royal Statistical Society: ...
Machine learning vs statistical methods for time series forecasting: Size matters (2019) arXiv preprint arXiv:1909.13316 Google Scholar Chaiwuttisak et al., 2016 Chaiwuttisak P., Smith H., Wu Y., Potts C., Sakuldamrongpanich T., Pathomsiri S. Location of low-cost blood collection and dist...
Statistical and now machine learning prediction methods have been gaining popularity in the field of landslide susceptibility modeling. Particularly, these data driven approaches show promise when tackling the challenge of mapping landslide prone areas for large regions, which may not have sufficient geotec...
It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage. shark - A fast, modular, feature-rich open-source C++ machine learning library. Shogun - The Shogun Machine Learning Toolbox. sofia-ml - Suite of fast incremental ...
This course will introduce you to statistical analyses, mathematical modelling, probability, and optimization techniques, Supervised and unsupervised learning models, advanced machine learning applications, deep learning concepts and applications, etc.
Machine learning (ML) modelling refers to statistical modelling techniques which detect patterns within data, as opposed to process-driven models which rely on understanding of system dynamics. ML algorithms make predictions by exploiting correlations between input variables (features) and an output varia...
A curated list of awesome responsible machine learning resources. - jphall663/awesome-machine-learning-interpretability
Despite the widespread application of machine learning in various fields for pavement performance, there is a paucity of studies utilizing machine learning algorithms for predicting rutting in asphalt pavement using LTPP data [45]. Also, the full potential of the Long-Term Pavement Performance dataset...