This is the Linux app named Stanford Machine Learning Course whose latest release can be downloaded as Stanford-Machine-Learning-Coursesourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Stanford Machine Learning Course with OnWorks for free.
请按照以下说明运行此应用程序：
- 1. 在您的 PC 中下载此应用程序。
- 2. 在我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX 中输入您想要的用户名。
- 3. 在这样的文件管理器中上传这个应用程序。
- 4. 从此网站启动OnWorks Linux online 或Windows online emulator 或MACOS online emulator。
- 5. 从您刚刚启动的 OnWorks Linux 操作系统，使用您想要的用户名转到我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX。
- 6. 下载应用程序，安装并运行。
斯坦福机器学习课程
描述：
The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems. Each folder corresponds to a specific algorithm or concept, making it easy for learners to navigate and practice. The exercises serve as practical, hands-on reinforcement of theoretical concepts taught in the course. This collection is valuable for students and practitioners who want to strengthen their skills in machine learning through coding exercises.
功能
- Contains programming exercises from Stanford’s Machine Learning course
- Implements algorithms in Python and MATLAB/Octave
- Covers supervised learning methods including regression and classification
- Includes unsupervised learning methods such as clustering and PCA
- Provides neural network training and optimization examples
- Features recommender systems and anomaly detection exercises
程式语言
MATLAB, Python, Unix Shell
分类
This is an application that can also be fetched from https://sourceforge.net/projects/stanford-ml.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.