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

开始时间: 09/08/2015 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。]

Machine Learning (Coursera) 28 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

Algorithms, Part I (Coursera) 6 个评论 关注

开始时间: 01/22/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/algs4partI

简介: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms.

Linux System Administration Essentials (edX) 2 个评论 关注

开始时间: 待定 持续时间: 未知

主页: https://www.edx.org/course/linux-system-administration-essentials-linuxfoundationx-lfs201x

简介: Master the skills and get Linux certified for in-demand sysadmin jobs.


機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations (Coursera) 0 个评论 关注

开始时间: 05/18/2019 持续时间: Unknown

主页: https://www.coursera.org/learn/ntumlone-mathematicalfoundations

简介: 台湾大学林轩田老师的 機器學習基石上 (Machine Learning Foundations)—Mathematical Foundations。如果有一定的基础或者学完了Andrew Ng老师的机器学习课程,这门机器学习基石上-数学基础可以作为进阶课程。林老师早期推出的两门机器学习课程口碑和难度均有:机器学习基石 和 机器学习技法 ,现在重组为上和下,非常值得期待

Algorithms Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 05/18/2019 持续时间: Unknown

主页: https://www.coursera.org/specializations/algorithms

简介: 斯坦福大学的算法专项课程系列(Algorithms Specialization),这个系列包含4门子课程,涵盖基础的算法主题和高级算法主题,此前评价非常高,五颗星推荐,感兴趣的同学可以关注: Learn To Think Like A Computer Scientist-Master the fundamentals of the design and analysis of algorithms.