[Coursera]Practical Machine Learning@JHU汇总贴

JHU的data science的track九门课每月循环一次，这本是极好的，就是课讲得不怎么样……权当了解了解啦，想学真本事还是得自己课下看书的~~~Course Website：https://www.coursera.org/course/predmachlearn
Course description：
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.
Prerequisite Course：
The Data Scientist’s Toolbox, R Programming, Regression Models, and Exploratory Data Analysis

Course Content：

• Prediction study design
• In sample and out of sample errors
• Overfitting
• Receiver Operating Characteristic (ROC) curves
• The caret package in R
• Preprocessing and feature creation
• Prediction with regression
• Prediction with decision trees
• Prediction with random forests
• Boosting
• Prediction blending
  

week 1   [Coursera]Practical Machine learning@JHU week #1
week 2   [Coursera]Practical Machine learning@JHU week #2

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看了一点toolbox，真是boring，不知道后面的是不是能好点。本来很好一个专题啊。

Calbrey 发表于 2014-6-15 01:29
看了一点toolbox，真是boring，不知道后面的是不是能好点。本来很好一个专题啊。

toolbox因为都是introduction的内容嘛，所以就很boring~~~不过如果你说的boring是讲课方式的问题的话，他全程都是那么讲得……