This is the Linux app named Coursera Machine Learning whose latest release can be downloaded as CourseraMachineLearningsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Coursera Machine Learning with OnWorks for free.
Ikuti petunjuk ini untuk menjalankan aplikasi ini:
- 1. Download aplikasi ini di PC Anda.
- 2. Masuk ke file manager kami https://www.onworks.net/myfiles.php?username=XXXXX dengan username yang anda inginkan.
- 3. Upload aplikasi ini di filemanager tersebut.
- 4. Jalankan emulator online OnWorks Linux atau Windows online atau emulator online MACOS dari situs web ini.
- 5. Dari OS Linux OnWorks yang baru saja Anda mulai, buka file manager kami https://www.onworks.net/myfiles.php?username=XXXXX dengan nama pengguna yang Anda inginkan.
- 6. Download aplikasinya, install dan jalankan.
Tangkapan layar
Ad
Pembelajaran Mesin Coursera
DESKRIPSI
CourseraMachineLearning is a personal collection of resources, notes, and programming exercises from Andrew Ng’s popular Machine Learning course on Coursera. It consolidates lecture references, programming tutorials, test cases, and supporting materials into one repository for easier review and practice. The project highlights fundamental machine learning concepts such as hypothesis functions, cost functions, gradient descent, bias-variance tradeoffs, and regression models. It also organizes week-by-week course schedules with links to exercises, lecture notes, and additional resources. Alongside the official coursework, the repository includes supplemental explanations, code snippets, and references to recommended textbooks and external materials. By gathering course-related resources into a single space, this project acts as a practical study companion for learners revisiting or supplementing the original course.
Fitur
- Consolidated notes and resources from Andrew Ng’s Coursera ML course
- Programming exercise tutorials and test cases for Octave/MATLAB
- Week-by-week schedule of lectures and assignments
- Covers key ML concepts: regression, logistic regression, neural networks, SVMs, clustering, and recommender systems
- Additional references including online books and lecture notes from CS229
- Supplemental examples and explanations for self-study
Bahasa Pemrograman
MATLAB
KATEGORI
This is an application that can also be fetched from https://sourceforge.net/projects/coursera-machine-learn.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
