Text Summarization
Keyword Extraction
Text Processing
Word Similarity
Best Coursera Course
Cousera斯坦福机器学习公开课网址:https://class.coursera.org/ml
本课的笔记之一:Coursera公开课笔记: 斯坦福大学机器学习第十课“应用机器学习的建议(Advice for applying machine learning)”
本课的课件资料:PPT PDF
1) Deciding what to try next(决定下一步该如何做)
2) Evaluating a hypothesis(评估假设)
3) Model selection and training/validation/test sets(模型选择和训练/验证/测试集)
4) Diagnosing bias vs. variance(诊断偏差和方差)
5) Regularization and bias/variance(正则化和偏差/方差)
6) Learning curves(学习曲线)
7) Deciding what to try next (revisited)(再次决定下一步该做什么)