machine-learning spark deep-learning uber mxnet tensorflow mpi keras pytorch machinelearning baidu deeplearning ray Updated Apr 22, 2025 Python dragen1860 / Deep-Learning-with-TensorFlow-book Star 13.3k Code
The default container image that's used by GitHub Codespaces includes a set of machine learning libraries that are preinstalled in your codespace. For example, Numpy, pandas, SciPy, Matplotlib, seaborn, scikit-learn, Keras, PyTorch, Requests, and Plotly. For more information about th...
The directory for each chapter contains a README with additional information on content, code examples and additional resources. Part 1: From Data to Strategy Development 01 Machine Learning for Trading: From Idea to Execution 02 Market & Fundamental Data: Sources and Techniques ...
Codespaces give developers aconsistentdevelopment environment inminutes. You can customize this entire space, not only for yourself, but for everyone else that comes to that GitHub repo. As a beginner, it took me10 minsto set up the environment on Codespace vs60-120 minsset...
https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/linear_regression/non_linear_regression_demo.ipynb 2. 分类 在分类问题中,我们将输入的例子按一定的特征进行分割。 使用示例:垃圾邮件过滤、语言检测、查找类似文档、手写字母识别等。
code_configuration:在部署期間,從開發環境上傳本機檔案,例如評分模型的 Python 來源。 如需關於 YAML 結構描述的詳細資訊,請參閱線上端點 YAML 參考。 注意 若要以 Kubernetes 端點而非受控線上端點做為計算目標,則必須: 使用Azure Machine Learning 工作室建立Kubernetes 叢集做為計算目標,並將其連結至 Azure Machi...
Azure Machine Learning 本機端點會使用 Docker 和 Visual Studio Code 開發容器 (dev 容器) 來組建和設定本機偵錯環境。 透過開發容器,您可以從 Docker 容器內利用 Visual Studio Code 功能。 如需開發容器的詳細資訊,請參閱建立開發容器。 若要在 Visual Studio Code 本機上偵錯線上端點,請在...
4.0.machine learning&deep learning&reinforced learning)machine learning 4.1.machine learning(ML) 4.1.1.data preprocessing 4.1.2. elements in machine learning 4.1.3.linear model 4.1.4.decision tree 4.1.5.support vector machine(SVM) 4.1.6.bayesian classifiers ...
https://github.com/trekhleb/homemade-machine-learning 【注:划线链接部分请点击底部“阅读原文”访问】 对于此仓库的Octave / MatLab版本,请查看machine-learning-octave项目。 本仓库包含在Python中实现的流行机器学习算法的示例,其中包含算法背后的解释。 每个算法都有交互式Jupyter Notebook演示,你可以使用它来训练...
《Machine Learning Yearning》是吴恩达历时两年,根据自己多年实践经验整理出来的一本机器学习、深度学习实践经验宝典。作为一本 AI 实战圣经,本书主要教你如何在实践中使机器学习算法的实战经验。 Github: https://github.com/deeplearning-ai/machine-learning-yearning-cnlinks.jianshu.com/go?to=https%3A%2F%...