NOTES.md

Prospective topics

• 대학생을 위한 웹 개발 공부용 체크리스트
• Other programming languages: Scala, Julia

TODOs

• Add google analytics
• Upload slides to slideshare
• CSV to HTML
• Forum 다시 embedding

References

Below are the references I've used to design this course.

• Bill Howe, Introduction to Data Science, U of Washington, 2014.

• Jeff Leek et al., The Data Scientist’s Toolbox, Johns Hopkins U, 2014.

• Jure Leskovec, CS246: Mining Massive Data Sets, Stanford U, Winter 2014.

• Jure Leskovec et al., CS341: Project in Mining Massive Data Sets, Spring 2014.

• Kaggle In Class

  • Galit Shmueli, Running a data mining contest on Kaggle, Nov 2013.

• How to Make an Interactive Review/Quiz using Google Forms

• Harvard Data Science

• Jure Leskovec, Stanford Data Mining

• Andrew Ng, Stanford Machine learning

Recommender systems

• https://class.coursera.org/mmds-001/lecture
• https://class.coursera.org/ml/lecture
• http://www.slideshare.net/kyuhwanjung/cvprml-20140111
• http://www.slideshare.net/xlos21/deview-recopick-aws?related=1

Deep learning

• http://cs229.stanford.edu/materials/CS229-DeepLearning.pdf
• https://class.coursera.org/neuralnets-2012-001/lecture

Map/Reduce

• https://class.coursera.org/datasci-001/lecture
• https://class.coursera.org/mmds-001/lecture
• https://twitter.com/tgrall/status/520810627867348992

Visualization

• https://class.coursera.org/datasci-001/lecture
• http://www.nytimes.com/interactive/2015/05/03/upshot/the-best-and-worst-places-to-grow-up-how-your-area-compares.html
• http://www.google.com/design/spec/material-design/introduction.html#
• Examples
  • https://twitter.com/cfr0g/status/612426238662082560?refsrc=email&s=11

SMT

• https://class.coursera.org/nlangp-001/lecture