天使的祭奠

北京 朝阳区

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Big Data in Education (Coursera) 0 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/bigdata-edu

简介: Education is increasingly occurring online or in educational software, resulting in an explosion of data that can be used to improve educational effectiveness and support basic research on learning. In this course, you will learn how and when to use key methods for educational data mining and learning analytics on this data.

Data Analysis (Coursera) 2 个评论 关注

开始时间: 10/28/2013 持续时间: 8 weeks

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

简介: Learn about the most effective data analysis methods to solve problems and achieve insight.

Automata (Coursera) 3 个评论 关注

开始时间: 09/12/2015 持续时间: 6 weeks

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

简介: This course covers finite automata, context-free grammars, Turing machines, undecidable problems, and intractable problems (NP-completeness).

Functional Programming Principles in Scala (Coursera) 7 个评论 关注

开始时间: 09/15/2014 持续时间: 7 weeks

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

简介: Learn about functional programming, and how it can be effectively combined with object-oriented programming. Gain practice in writing clean functional code, using the Scala programming language.

Mathematical Methods for Quantitative Finance (Coursera) 2 个评论 关注

开始时间: 06/01/2015 持续时间: 8 weeks

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

简介: Mathematical Methods for Quantitative Finance covers topics from calculus and linear algebra that are fundamental for the study of mathematical finance. Students successfully completing this course will be mathematically well prepared to study quantitative finance at the graduate level.

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.

Probabilistic Graphical Models (Coursera) 5 个评论 关注

开始时间: 04/08/2013 持续时间: 11 weeks

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

简介: In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.

Computational Methods for Data Analysis (Coursera) 1 个评论 关注

开始时间: 01/05/2015 持续时间: 10 weeks

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

简介:

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.

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。]

Computer Networks (Coursera) 4 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: The Internet is a computer network that millions of people use every day. Understand the design strategies used to solve computer networking problems while you learn how the Internet works.

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