Shypd.aiThe largest open index of AI toolsNTU-Machine-learning is an open-source educational resource that provides course materials, assignments, and videos for a machine learning course. It offers a structured learning path for students and developers interested in machine learning.
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NTU-Machine-learning is an open-source repository providing comprehensive materials for a machine learning course taught by Professor Hung-yi Lee at National Taiwan University. It includes lecture slides, detailed notes, and video links covering core topics such as supervised learning (regression, classification), unsupervised learning (AutoEncoder, Deep Generative Model), transfer learning, and structured learning. The repository also features weekly assignments with code examples, environment configuration guides for Anaconda and Docker, and recommendations for essential resources like blogs, classic deep learning papers, and Python tutorials. It's designed to offer a structured, self-paced learning experience for individuals looking to master machine learning concepts and practical applications.
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