Performance tuning usually goes something like followed: a performance problem occurs an experienced person knows what is probably the cause and suggests a specific change baseline performance is determined, the change is applied, and performance is measured again if the performance has improved compared to the baseline, keep the change, […]
Machine learning
PeopleCounter part one: Counting People
Intro Internet of Things stands for connecting devices to the internet. The devices are then able to communicate with each other. In our project, the PeopleCounter, we use a mini-computer with intelligent software to count the number of people in front of a camera. We send that number to an […]
R and the Oracle database: Using dplyr / dbplyr with ROracle on Windows 10
R uses data extensively. Data often resides in a database. In this blog I will describe installing and using dplyr, dbplyr and ROracle on Windows 10 to access data from an Oracle database and use it in R.
R: Utilizing multiple CPUs
R is a great piece of software to perform statistical analyses. Computing power can however be a limitation. R by default uses only a single CPU. In almost every machine, multiple CPUs are present, so why not utilize them? In this blog post I’ll give a minimal example and some […]
Machine learning: Getting started with random forests in R
According to Gartner, machine learning is on top of the hype cycle at the peak of inflated expectations. There is a lot of misunderstanding about what machine learning actually is and what it can be done with it. Machine learning is not as abstract as one might think. If you […]