Category: Machine Learning
-
Machine Learning & Gradient Boosting w/xgboost
I presented at the Cleveland R User Group on using xgboost in R. Slides are available here. Code (jupyter notebooks) are here. Feedback welcome. Enjoy!
-
Installing TensorFlow on CentOS
Google released TensorFlow as open source for community use and improvement. From the site: “TensorFlow™ is an open source software library for numerical computation using data flow graphs.” The instructions on tensorflow.org are aimed at Ubuntu and OS X. I had a need to install it on CentOS so I documented the steps in a […]
-
Presentation on Linear Algebra in R
At our January meeting, I presented on Linear Algebra basics in R. I have been taking the Andrew Ng’s Stanford Machine Learning course. That course primarily uses Matlab (or Octave, and open source equivalent), and machine learning involves manipulating and calculating with matrices. Naturally, being an R person, I have been working with some of […]