This is the Linux app named Homemade Machine Learning whose latest release can be downloaded as homemade-machine-learningsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Homemade Machine Learning with OnWorks for free.
اتبع هذه التعليمات لتشغيل هذا التطبيق:
- 1. قم بتنزيل هذا التطبيق على جهاز الكمبيوتر الخاص بك.
- 2. أدخل في مدير الملفات الخاص بنا https://www.onworks.net/myfiles.php؟username=XXXXX باسم المستخدم الذي تريده.
- 3. تحميل هذا التطبيق في هذا الملف.
- 4. ابدأ تشغيل OnWorks Linux عبر الإنترنت أو محاكي Windows عبر الإنترنت أو محاكي MACOS عبر الإنترنت من هذا الموقع.
- 5. من نظام تشغيل OnWorks Linux الذي بدأته للتو ، انتقل إلى مدير الملفات الخاص بنا https://www.onworks.net/myfiles.php؟username=XXXXX مع اسم المستخدم الذي تريده.
- 6. قم بتنزيل التطبيق وتثبيته وتشغيله.
SCREENSHOTS
Ad
Homemade Machine Learning
الوصف
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is pedagogical: you’ll see linear regression, logistic regression, k-means clustering, neural nets, decision trees, etc., built in Python using fundamentals like NumPy and Matplotlib, not hidden behind API calls. It is well suited for learners who want to move beyond library usage to understand how algorithms operate internally—how cost functions, gradients, updates and predictions work.
شرح المميزات:
- Implementations of many machine-learning algorithms in pure Python for educational clarity
- Interactive Jupyter notebooks with visualizations of data, decision boundaries, and error surfaces
- Explanation of math behind each algorithm including derivations and intuition
- Hands-on demos where you can change algorithm configuration and see effects
- Emphasis on building algorithms from first principles rather than one-liner libraries
- Good for interview prep, teaching, and self-study of ML fundamentals
لغة البرمجة
Python
التصنيفات
This is an application that can also be fetched from https://sourceforge.net/projects/homemade-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.
