宋鑫要学习 评论了课程: 機器學習技法 (Machine Learning Techniques) 2015-03-11 17:46 1. 这门课是林轩田老师另一门课《机器学习基石》的后续课程,需要先学基石,再学技法;
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宋鑫要学习 评论了课程: Machine Learning 2013-10-12 13:42 这个必须五星。Andrew Ng讲授,即是我coursera上的第一门课(虽然跟下来了,但是很遗憾没有做过几次作业),也是我机器学习的入门课 |
宋鑫要学习 评论了课程: Statistics One 2013-10-12 13:41 刚上了两次课,讲的都是很简单的概念,对想从事机器学习/数据挖掘而又缺乏统计知识的同学是个不错的选择。另外,这门课的lab用的是R语言,对想要入门R的同学也是一个不错的选择 |
宋鑫要学习 评论了课程: Computing for Data Analysis 2013-10-12 13:36 想入门R语言的可以听听。我自己之前有看过一些R的入门书籍,但是总感觉云里雾里,这门课让我感觉自己摸着点门道 |
Model Thinking (CourseraArchive) 3 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/modelthinking 简介: In this class, you will learn how to think with models and use them to make sense of the complex world around us. |
Computing for Data Analysis (CourseraArchive) 7 个评论 关注 开始时间: 04/22/2022 持续时间: 4 weeks 主页: https://www.coursera.org/course/compdata 简介: This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods. |
Data Analysis (CourseraArchive) 2 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/dataanalysis 简介: Learn about the most effective data analysis methods to solve problems and achieve insight. |
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. |
Financial Markets (CourseraArchive) 1 个评论 关注 开始时间: 04/22/2022 持续时间: Unknown 主页: https://www.coursera.org/course/financialmarkets 简介: An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise. |