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optman 的课程评论

optman 评论了课程: Cloud Networking

2015-12-05 14:41

内容很新,对数据中心的网络有了一个基本的了解!CDN一节,提到了困惑我很久的的内容,公共CDN会影响CDN么....... 分享一下课程大纲 http://note.youdao.com/share/?id=0c989a9fda0a4f062a6754f7b1a9ea0f&type=note 以及视频下载http://pan.baidu.com/s/1sjZfLyl 4周的课程很短,主要起到了提纲挈领的作用,很多参考文献可以看。

optman 评论了课程: The Brain and Space

2014-05-09 22:56


optman 评论了课程: Coding the Matrix: Linear Algebra through Computer Science Applications

2013-08-10 17:09

刚完成第四周的作业,通过实际代码,基本理解了Hamming Code的原理。然后看了一下网上的介绍,云里雾里,感觉还是通过实战的理解更深刻。课程的作业自动评分系统是有点诡异,明明都通过测试用例了...行吧,我也不要求满分,学到东西就好,别太纠结了。与以前上学时,做完作业也不知道对错相比,现在可以及时得到反馈,效果要好很多。


optman 关注的课程

Bioinformatics Algorithms (Part 1) (Coursera) 2 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: This course will cover some of the common algorithms underlying the following fundamental topics in bioinformatics: assembling genomes, comparing DNA and protein sequences, predicting genes, finding regulatory motifs, analyzing gene expression, constructing evolutionary trees, analyzing genome rearrangements, and identifying proteins.

Computational Neuroscience (Coursera) 2 个评论 关注

开始时间: 05/01/2015 持续时间: 8 weeks

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

简介: Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.

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

开始时间: 10/01/2012 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.

VLSI CAD: Logic to Layout (Coursera) 0 个评论 关注

开始时间: 02/02/2015 持续时间: 10 weeks

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

简介: A modern VLSI chip has a zillion parts -- logic, control, memory, interconnect, etc.  How do we design these complex chips?  Answer: CAD software tools.  Learn how to build these tools in this class.

Computer Vision: The Fundamentals (Coursera) 0 个评论 关注

开始时间: 待定 持续时间: 未知

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

简介: In this course, we will study the concepts and algorithms behind some of the remarkable successes of computer vision - capabilities such as face detection, handwritten digit recognition, reconstructing three-dimensional models of cities and more.

Image and video processing: From Mars to Hollywood with a stop at the hospital (Coursera) 1 个评论 关注

开始时间: 01/04/2016 持续时间: 9 weeks

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

简介: In this class you will look behind the scenes of image and video processing, from the basic and classical tools to the most modern and advanced algorithms.

Coding the Matrix: Linear Algebra through Computer Science Applications (Coursera) 9 个评论 关注

开始时间: 02/02/2015 持续时间: 10 weeks

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

简介: Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data.

機率 (Coursera) 3 个评论 关注

开始时间: 08/31/2013 持续时间: 10 weeks

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

简介: 這是一個機率的入門課程,著重的是教授機率基本概念。另外我們的作業將搭配台大電機系所開發的多人競技線上遊戲方式,讓同學在遊戲中快樂的學習,快速培養同學們對於機率的洞察力與應用能力。

The Brain and Space (Coursera) 1 个评论 关注

开始时间: 05/11/2015 持续时间: 6 weeks

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

简介: This course is about how detective work by the brain creates our sense of spatial location from a variety of sensory and motor sources, and how this spatial sense in turn shapes our cognitive abilities.

Cloud Networking (Coursera) 1 个评论 关注

开始时间: 11/02/2015 持续时间: 5 weeks

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

简介: The network is what makes the cloud. The cloud’s key capabilities—the ability to share infrastructure, the ability to move and scale applications across servers, massive parallelism, virtualization, and worldwide connectivity—are all rooted in the network. Learn how it all works!