Data Mining 2016/17 spring

More reading and links

Newsletters

• Data Elixir - biweekly newsletter http://dataelixir.com/
• KDE nuggets - http://www.kdnuggets.com/
• A Comprehensive guide to Data Exploration http://www.analyticsvidhya.com/blog/2016/01/guide-data-exploration/
• Logistic regression https://www.linkedin.com/pulse/whos-afraid-logistic-regression-paul-dalen
• 10 Machine Learning Terms Explained in Simple English http://blog.aylien.com/post/121281850733/10-machine-learning-terms-explained-in-simple

Online courses

• Machine Learning by Andrew Ng https://www.coursera.org/learn/machine-learning
• Introduction to Data Science (UC Berkeley) https://bcourses.berkeley.edu/courses/1267848
• Data mining and analysis (Stanford) http://web.stanford.edu/class/stats202/content/lectures.html
• AI and deep NN - https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/

Interesting sites

• Seeing theory - http://students.brown.edu/seeing-theory/

Challenges

• Kaggle https://www.kaggle.com/
• BPI challenge (process mining) http://fluxicon.com/blog/2015/05/bpi-challenge-2015/

R

• ggplot2 - book - https://www.dropbox.com/s/0lap7tr7zoryyjk/ggplot2-book.pdf?dl=0

Python

• Pandas cheat sheet (PDF)

Jupyter Notebook tricks

• https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/

Maths

• Immersive Linear Algebra http://immersivemath.com/ila/tableofcontents.html?
• MathWiki - http://mathwiki.cs.ut.ee/start

Code for mining software repositories / GitHub API

• GitHub API for Java: http://github-api.kohsuke.org
• Example code to retrieve data from GitHub repositories:
  • GitHub data extractor sources: source-link
  • GitHub data extractor libraries: lib-link