钛合金蛙眼

没头脑和不高兴

北京 朝阳区

感兴趣的主题: 数据挖掘 吐槽体质 动漫 计算广告 互联网

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钛合金蛙眼 的课程评论

钛合金蛙眼 评论了课程: Linear and Integer Programming

2013-11-17 17:11

楼上神级评价我就不好意思瞎说了,老师付出了很多辛苦,但是取消了期末的考试有点小不爽,下一次开课应该会更好

钛合金蛙眼 评论了课程: Mathematical Methods for Quantitative Finance

2013-11-15 14:55

内容包括微积分,线性代数,最优化再捎带一些金融知识,都是数据挖掘和机器学习数学基础(除了概率统计),老师也讲的很清楚,只可惜没有证书,UW开的几门课程都不错

钛合金蛙眼 评论了课程: 中國古代歷史與人物--秦始皇

2013-09-06 12:46

虽然才第一周不好评价,但是真的想说,我和我的小伙伴们都惊呆了,有时间一定要看一下这门课

钛合金蛙眼 评论了课程: Machine Learning

2013-07-12 18:25

第二次完整跟下来,的确是最适合入门的机器学习课程,而且一点也不枯燥,必须5分

钛合金蛙眼 评论了课程: High Performance Scientific Computing

2013-07-09 11:10

很实用,内容包括版本控制(git),语言(fortran, python),编译调试(makefile),并行计算(openmp, mpi),还有一部分科学计算(蒙特卡罗)。十分适合用来学习了解诸多知识点。Coursera上没有编程作业,但是他提供的课程网站有homework(课程是在C站和学校同步开授的),时间原因没全跟下来,比较花时间。uw开的另一门课程 introduction to data science,也是一门实用的杂烩式课程

钛合金蛙眼 评论了课程: Introduction to Data Science

2013-06-26 12:22

希望和失望并存。。。课程内容结构很好,讲的不好;作业很赞,对有一定基础的人不难,但入门的同学可能还是有困难。如果只是想粗浅了解课程各个topic的,跟着做作业就不错,想深入还需自学

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钛合金蛙眼 关注的课程

Natural Language Processing (Coursera) 7 个评论 关注

开始时间: 02/24/2013 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.

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.

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.

High Performance Scientific Computing (Coursera) 1 个评论 关注

开始时间: 02/20/2015 持续时间: 10 weeks

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

简介: Programming-oriented course on effectively using modern computers to solve scientific computing problems arising in the physical/engineering sciences and other fields. Provides an introduction to efficient serial and parallel computing using Fortran 90, OpenMP, MPI, and Python, and software development tools such as version control, Makefiles, and debugging.

Introduction to Parallel Programming (Udacity) 1 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/cs344

简介: You'll master the fundamentals of massively parallel computing by using CUDA C/C++ to program modern GPUs. You'll learn the GPU programming model and architecture, key algorithms and parallel programming patterns, and optimization techniques. Your assignments will illustrate these concepts through image processing applications, but this is a parallel computing course and what you learn will translate to any application domain. Most of all we hope you'll learn how to think in parallel.

Linear and Integer Programming (Coursera) 3 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: This course will cover the very basic ideas in optimization. Topics include the basic theory and algorithms behind linear and integer linear programming along with some of the important applications. We will also explore the theory of convex polyhedra using linear programming.

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