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.
Дотримуйтесь цих інструкцій, щоб запустити цю програму:
- 1. Завантажив цю програму на свій ПК.
- 2. Введіть у наш файловий менеджер https://www.onworks.net/myfiles.php?username=XXXXX із потрібним ім'ям користувача.
- 3. Завантажте цю програму в такий файловий менеджер.
- 4. Запустіть онлайн-емулятор OnWorks Linux або Windows або онлайн-емулятор MACOS з цього веб-сайту.
- 5. З ОС OnWorks Linux, яку ви щойно запустили, перейдіть до нашого файлового менеджера https://www.onworks.net/myfiles.php?username=XXXXX з потрібним іменем користувача.
- 6. Завантажте програму, встановіть її та запустіть.
Стенфордський курс машинного навчання
Ad
ОПИС
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.
Функції
- 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
Мова програмування
MATLAB, Python, Unix Shell
Категорії
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.
