A student.

陕西 西安

感兴趣的主题: 图像处理 Python 机器学习 爱生活 爱熊猫 各种代码 C 计算机 代码 熊猫


The_Seventh_Heaven 的课程评论

The_Seventh_Heaven 评论了课程: From Nand to Tetris / Part I

2015-05-24 04:03

刚做完最后一次作业。课程很优秀,作为计算机专业的硕士来听这门入门课,仍然能学到新东西,于我而言,最大的用处就是帮助我把之前在学校学习的计算机专业课大体复习了一遍。虽然课程内容是开发一个简单的玩具计算机,但在学习的过程中总能不经意回忆起以前学过的内容,作为part I,主要的还是计算机组成原理。听一遍课作为以前知识的复习强化,这个东西,excited!不论是不是计算机专业的同学,都应该学习一个。这么好的课,Coursera要大力宣传,课程图谱也要大力宣传,我学完了也为这课宣传,以后这课就人山人海了。

The_Seventh_Heaven 评论了课程: Heterogeneous Parallel Programming

2014-01-27 12:15



The_Seventh_Heaven 关注的课程

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


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.

StatLearning: Statistical Learning (Stanford Online) 3 个评论 关注

开始时间: 04/22/2022 持续时间: 未知


简介: This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical).

From Nand to Tetris / Part I (CourseraArchive) 2 个评论 关注

开始时间: 04/22/2022 持续时间: 7 weeks


简介: Build a modern computer system, starting from first principles. The course consists of six weekly hands-on projects that take you from constructing elementary logic gates all the way to building a fully functioning general purpose computer. In the process, you will learn -- in the most direct and intimate way -- how computers work, and how they are designed.