王志龙cat

湖北 武汉

感兴趣的主题: 计算机 王志龙

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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.

Introduction to Art: Concepts & Techniques (Coursera) 1 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: Learn to identify and define various art movements, artists, and their artworks. Convey a personal appreciation for art concepts, techniques, and approaches through the creation and sharing of your own original artwork.

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.

Neural Networks for Machine Learning (Coursera) 5 个评论 关注

开始时间: 待定 持续时间: 8 weeks

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

简介: Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.

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

开始时间: 09/02/2018 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

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