This is an awesome presentation by Russel Jurney on building data driven applications that use big data.
Russel is in the midst of writing a book on this topic and the book is currently available for review on O’reilly’s Open Feedback Publishing System
—Jason
This is awesome. The author is translating the code “Machine Learning for Hackers” from R to Python and hosting it in GH.
He also has all this in ipython notebooks which are viewable online (example: http://nbviewer.ipython.org/urls/raw.github.com/carljv/Will_it_Python/master/MLFH/CH2/ch2.ipynb).
—Jason
Just a handful of useful links I came across:
- Machine learning and Data Mining - Association Analysis with Python
- Getting Started with Pandas - Predicting SAT Scores for New York City Schools
- Generating Labels for Supervised Text Classification using CAT and R
- Introduction into NumPy *Text Classification and Feature Hashing: Sparse Matrix-Vector Multiplication with Cython
—Jason
Looks like a great resource for anyone in the DC area looking for meetups and other activities related to Data Science and Big Data.
—Jason
This is pretty cool. It is a comparison of several classifiers in scikit-learn on synthetic datasets.
—Jason
