Andrew Ng’s Machine Learning at Stanford University is a Coursera course titled 'Supervised Machine Learning: Regression and Classification'. It is the first course of the Machine Learning Specialization. The course teaches how to build machine learning models in Python using NumPy and scikit-learn, covering regression and classification. It is aimed at beginners, requires flexible scheduling over three weeks at ten hours per week, and offers a shareable certificate.
Heights Platform is an AI online course creation and community software platform. It lets creators build and sell online courses, communities, coaching programs, and digital products, with unlimited videos and modules, lesson editor tools, drip feed, and payment plans via Stripe or PayPal. It also provides a website builder and landing pages.
Data School is a blog about data science and machine learning. Its posts cover topics such as the difference between AI and machine learning, learning scikit-learn, AI progress, and using pandas for calculations. Posts are tagged by subject including Python, AI, and machine learning.
Course materials and notes for the Stanford class CS231n: Deep Learning for Computer Vision. The notes accompany the Stanford CS class and cover topics organized in modules. Spring 2026 assignments are listed.
Deep Dream Generator is an AI image and video generation service. It offers 30+ AI models for text-to-image, video generation, and image editing, with no signup required to start creating. The site also hosts community creations, AI prompts, and a blog.
Remusic is a free AI music generator that creates full-length songs up to 4 minutes long in seconds. It also offers an AI cover generator supporting over 1,000 voices, an AI vocal remover for sound separation, an AI karaoke maker, an AI sheet music generator and a free AI music analyzer.
MEKA is an open source implementation of methods for multi-label learning and evaluation, based on the WEKA Machine Learning Toolkit. It includes dozens of multi-label methods from the scientific literature and a wrapper to the MULAN framework. The project is distributed via SourceForge, with code hosted on GitHub.
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Heights Platform is an AI online course creation and community software platform. It lets creators build and sell online courses, communities, coaching programs, and digital products, with unlimited videos and modules, lesson editor tools, drip feed, and payment plans via Stripe or PayPal. It also provides a website builder and landing pages.
Data School is a blog about data science and machine learning. Its posts cover topics such as the difference between AI and machine learning, learning scikit-learn, AI progress, and using pandas for calculations. Posts are tagged by subject including Python, AI, and machine learning.
Course materials and notes for the Stanford class CS231n: Deep Learning for Computer Vision. The notes accompany the Stanford CS class and cover topics organized in modules. Spring 2026 assignments are listed.
Deep Dream Generator is an AI image and video generation service. It offers 30+ AI models for text-to-image, video generation, and image editing, with no signup required to start creating. The site also hosts community creations, AI prompts, and a blog.
Remusic is a free AI music generator that creates full-length songs up to 4 minutes long in seconds. It also offers an AI cover generator supporting over 1,000 voices, an AI vocal remover for sound separation, an AI karaoke maker, an AI sheet music generator and a free AI music analyzer.
MEKA is an open source implementation of methods for multi-label learning and evaluation, based on the WEKA Machine Learning Toolkit. It includes dozens of multi-label methods from the scientific literature and a wrapper to the MULAN framework. The project is distributed via SourceForge, with code hosted on GitHub.
