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Linear and Discrete Optimization (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/linearopt

简介: The course is an introduction to linear and discrete optimization - an important part of computational mathematics with a wide range of applications in many areas of everyday life.

Statistics: Making Sense of Data (Coursera) 1 个评论 关注

开始时间: 04/01/2013 持续时间: 47 weeks

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

简介: This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world.

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.

Algorithms: Design and Analysis, Part 2 (Coursera) 4 个评论 关注

开始时间: 03/16/2015 持续时间: 6 weeks

主页: https://www.coursera.org/course/algo2

简介: In this course you will learn several fundamental principles of advanced algorithm design: greedy algorithms and applications; dynamic programming and applications; NP-completeness and what it means for the algorithm designer; the design and analysis of heuristics; and more.

Algorithms, Part II (Coursera) 5 个评论 关注

开始时间: 03/16/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/algs4partII

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.

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。]

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