GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/logistic_regression/logistic_regression.py Demo |逻辑回归-线性边界:基于花瓣长度和花瓣宽度的鸢尾花类预测 https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/logistic_re...
GitHub资源:https://github.com/josephmisiti/awesome-machine-learning 3、scikit-learn/scikit-learn Introduction scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license. GitHub资源:https://github.com/scikit-learn/scikit-learn 4、fchol...
开始使用 GitHub Actions 以便在 Azure 机器学习上训练模型。 本文介绍如何创建生成机器学习模型并将其部署到 Azure 机器学习的GitHub Actions工作流。 你将基于纽约出租车数据集训练 scikit-learn 线性回归模型。 GitHub Actions 使用存储库中 /.github/workflows/ 路径下的工作流 YAML (.yml) 文件。 此定义包含组成...
2022 年在《Nature Machine Intelligence》期刊中,AI 在偏微分方程 (PDE) 求解和气候预测领域的研究重点是 传输学习 (Transfer Learning)、物理约束生成模型 (Physically Constrained GANs) 以及 条件转移适应性 …
Learn about working on machine learning projects with GitHub Codespaces and its out-of-the-box tools.
Now, it’s your turn to explore these powerful capabilities and start optimizing your machine learning workflows with Amazon SageMaker Pipelines and Ray. Take action today and unlock the full potential of your ML projects! About the Author Raju Rangan is a Senior Solutions Architect ...
A deep-learning search for technosignatures from 820 nearby stars Article30 January 2023 An updated nuclear-physics and multi-messenger astrophysics framework for binary neutron star mergers ArticleOpen access20 December 2023 Gravitational-wave asteroseismology with fundamental modes from compact binary insp...
机器学习(Machine Learning, ML)是AI的核心技术,通过算法和模型让计算机从数据中学习规律,并利用这些规律进行预测或决策。常见的机器学习分类包括监督学习、无监督学习、半监督学习和强化学习。典型应用场景包括Netflix的个性化推荐系统、银行的信用评分模型以及股票市场预测。