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Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Machine learningand data mining. These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning ), computer hardware, and, less ...
Conformal prediction ( CP) is a machine learning framework for uncertainty quantification that produces statistically valid prediction regions ( prediction intervals) for any underlying point predictor (whether statistical, machine, or deep learning) only assuming exchangeability of the data. CP works by computing nonconformity scores on ...
Model order reduction aims to lower the computational complexity of such problems, for example, in simulations of large-scale dynamical systems and control systems. By a reduction of the model's associated state space dimension or degrees of freedom, an approximation to the original model is computed which is commonly referred to as a reduced ...
W3Schools is a freemium educational website for learning coding online. [ 1][ 2] Initially released in 1998, it derives its name from the World Wide Web but is not affiliated with the W3 Consortium. [ 3][ 4][unreliable source] W3Schools offers courses covering many aspects of web development. [ 5] W3Schools also publishes free HTML templates.
Symbolic regression. Expression tree as it can be used in symbolic regression to represent a function. Symbolic regression ( SR) is a type of regression analysis that searches the space of mathematical expressions to find the model that best fits a given dataset, both in terms of accuracy and simplicity. No particular model is provided as a ...
CatBoost. CatBoost[ 6] is an open-source software library developed by Yandex. It provides a gradient boosting framework which among other features attempts to solve for Categorical features using a permutation driven alternative compared to the classical algorithm. [ 7] It works on Linux, Windows, macOS, and is available in Python, [ 8] R, [ 9 ...
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...