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
Jupyter Notebook tricks
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