Udacity于6月25号启动了5门课程,详见”Udacity6月份的新课程“,其中”统计学导论“最为引入注目,不仅仅因为这门课的授课者大名鼎鼎-Sebastian Thrun教授和Adam Sherwin, 更因为这个课的目标就是要超过去年秋季16万人一起学习人工智能公开课的记录。目前这个目标貌似已经达到,@optman同学前天发出了这样一条微博:
“统计学导论”明天开课,学生总数号称要达到历史记录160,000+。与16万地球人一起学习,过个几年你也可以说曾经跟“奥巴马第二”是同学啦。就为这个,你也得参加啊。
是的,就为这个,大家也应该一起学习Udacity的这门课:统计学导论。好了,让我们先来看一下Thrun教授给这门课做的宣称视频,非常有趣:
这门课程的安排如下:
Syllabus
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Unit 1: Visualizing relationships in data
Seeing relationships in data and predicting based on them; dealing with noise
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Unit 2: Processes that generates data
Random processes; counting, computing with sample spaces; conditional probability; Bayes Rule
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Unit 3: Processes with a large number of events
Normal distributions; the central limit theorem; adding random variables
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Unit 4: Real data and distributions
Sampling distributions; confidence intervals; hypothesis tests; outliers
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Unit 5: Systematically understanding relationships
Least squares;residuals; inference
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Unit 6: Understanding more complex relationships
Transformation; smoothing; regression for two or more variables, categorical variables
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Unit 7: Where to go next
Statistics vs machine learning; what to study next; where statistics is used
Final exam
另外这门课程几乎是零起点的,对于大家的要求如下:
This course does not require any previous knowledge of statistics. Basic familiarity with algebra such as knowing how to compute the mean, median and mode of a set of numbers will be helpful
而关于能学到什么:
This course will cover visualization, probability, regression and other topics that will help you learn the basic methods of understanding data with statistics.
最后再介绍一下授课的两位老师:
Sebastian Thrun
Sebastian Thrun is a Research Professor of Computer Science at Stanford University, a Google Fellow, a member of the National Academy of Engineering and the German Academy of Sciences. Thrun is best known for his research in robotics and machine learning, specifically his work with self-driving cars.
Adam Sherwin
Adam spent seven years inferring and monitoring how people drive, and helping to start and buy lending businesses. Now instead of filling his days with never-ending database queries and presentations, Adam hopes to help everyone learn statistics.