機器學習技法 (Machine Learning Techniques) (CourseraArchive) 2 个评论 关注

开始时间: 04/22/2022 持续时间: 8 weeks

主页: https://www.coursera.org/course/ntumltwo

简介: The course extends the fundamental tools in "Machine Learning Foundations" to powerful and practical models by three directions, which includes embedding numerous features, combining predictive features, and distilling hidden features. [這門課將先前「機器學習基石」課程中所學的基礎工具往三個方向延伸為強大而實用的工具。這三個方向包括嵌入大量的特徵、融合預測性的特徵、與萃取潛藏的特徵。]

機器學習基石 (Machine Learning Foundations) (CourseraArchive) 10 个评论 关注

开始时间: 04/22/2022 持续时间: 8 weeks

主页: https://www.coursera.org/course/ntumlone

简介: Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。本課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。]

Probabilistic Graphical Models Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 12/21/2023 持续时间: Approximately 4 months to complete Suggested pace of 11 hours/week

主页: https://www.coursera.org/specializations/probabilistic-graphical-models

简介: 斯坦福大学 Daphne Koller 教授的概率图模型专项课程系列（Probabilistic Graphical Models Specialization），作为Coursera上最早的几门课程之一，这门概率图模型课程的相当有难度，完成作业拿到证书还是很有挑战的，感兴趣的同学可以关注：Probabilistic Graphical Models-Master a new way of reasoning and learning in complex domains