Deep Learning Specialization on Coursera

Udacity公开课介绍-统计学导论:基于数据的决策(Introduction to Statistics: Making Decisions based on Data (ST101))

+5 投票

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


  • Unit 1: Visualizing relationships in data

    Seeing relationships in data and predicting based on them; dealing with noise

  • Unit 2: Processes that generates data

    Random processes; counting, computing with sample spaces; conditional probability; Bayes Rule

  • Unit 3: Processes with a large number of events

    Normal distributions; the central limit theorem; adding random variables

  • Unit 4: Real data and distributions

    Sampling distributions; confidence intervals; hypothesis tests; outliers

  • Unit 5: Systematically understanding relationships

    Least squares;residuals; inference

  • Unit 6: Understanding more complex relationships

    Transformation; smoothing; regression for two or more variables, categorical variables

  • 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

image

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

image

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.

 

时间: 2012年 6月 27日 分类:概率与统计 作者: 52opencourse (24,270 基本)

登录注册后回答此问题。

NLPJob

Text Summarization

Keyword Extraction

Text Processing

Word Similarity

Best Coursera Course

Best Coursera Courses

Elastic Patent

本站架设在 DigitalOcean 上, 采用创作共用版权协议, 要求署名、非商业用途和保持一致. 转载本站内容必须也遵循“署名-非商业用途-保持一致”的创作共用协议.