Mindblown: a blog about philosophy.
Hadoop: Installing on macOS
Hadoop is traditionally run on a linux-based system. For learning and development purposes, you may want to install hadoop on macOS. This is the first in a series of posts that will walkthrough working with Hadoop and cloud-based storage. First, you’ll want to use homebrew to install hadoop and any related tools you would like. […]
Files and Pipes in R Video Demo
I’ve worked with various alternate file handlers in python before and wanted to explore the options in R. I was pleasantly surprised to find handlers prebuilt for tasks like compressing data. In addition, a pipe function is available to allow you to use less common commands on your file, like gpg for encryption. I put […]
Markov Chain Simulation
I’ve been reading up on Markov chains and related concepts. On the wikipedia page there is an example of a 2 state Markov process. I decided to simulate it in R and plot the mean of the means. Quick Code example here: The mean of means (of state e) is close to .36. If you […]
R Machine Learning Tutorial Videos Published
I’ve been creating a video series on machine learning in R. Two videos are up and there is a third on the way. Getting Started The first video series is a Getting Started series that looks at predicting continuous values, classification, and other first steps into modeling. I start with using the algorithms directly, and […]
Text Processing in R Talk With the TM Package
I gave a talk at my local Cleveland R User Group about text processing and document vectorization. You can view the talk here: Note that I’m using the tm package, which is the traditional way to work with a document collection in R. There are new ways like tidytext that are gaining popularity. I may […]
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