wsz-bupt 评论了课程: Probabilistic Graphical Models

2013-05-13 22:59

确实挺有难度的，属于graduate level的课程，一周花10+个小时几乎是必须的，对应的教材有1000+页。如果想弄懂概率图模型，这是一门极好的课~

wsz-bupt 评论了课程: Algorithms: Design and Analysis, Part 2

2013-05-13 22:55

老师讲解很详细，前因后果解释得很清楚，既有深度游有广度，讲完一个算法之后还会讨论一些尚未解决的问题，并给出一些经典的参考文献。不过老师讲课的语速非常快，不习惯的话可能会稍感不适，但是个人非常喜欢。部分Quiz会比较有挑战性，不过也很具有启发性。老师的个人主页：http://theory.stanford.edu/~tim/

Natural Language Processing (CourseraArchive) 7 个评论 关注

开始时间: 04/22/2022 持续时间: 10 weeks

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

简介: Have you ever wondered how to build a system that automatically translates between languages? Or a system that can understand natural language instructions from a human? This class will cover the fundamentals of mathematical and computational models of language, and the application of these models to key problems in natural language processing.

Machine Learning (CourseraArchive) 29 个评论 关注

开始时间: 04/22/2022 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.

Ruby (Coursera专项课程) 2 个评论 关注

开始时间: 04/22/2022 持续时间: free

主页: http://www.codecademy.com/zh/tracks/ruby

简介: Ruby is an incredibly popular programming language that helps power websites all over the world. Learn how to create a number of useful applications quickly and easily.

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

开始时间: 04/22/2022 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.

Neural Networks for Machine Learning (CourseraArchive) 5 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/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.

Probabilistic Graphical Models (CourseraArchive) 5 个评论 关注

开始时间: 04/22/2022 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.

Introduction to Computer Science (Udacity) 6 个评论 关注

开始时间: 04/22/2022 持续时间: 自主

主页: https://www.udacity.com/course/cs101

简介: In this course you will learn key concepts in computer science and learn how to write your own computer programs in the context of building a web crawler.

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

开始时间: 04/22/2022 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.

C++ For C Programmers (CourseraArchive) 2 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

主页: https://www.coursera.org/course/cplusplus4c

简介: This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.

Natural Language Processing (CourseraArchive) 3 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

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

简介: In this class, you will learn fundamental algorithms and mathematical models for processing natural language, and how these can be used to solve practical problems.