Posts

Timeseries forecasting with H2O
H2O, Time SeriesBy expanding a time series horizontally you can use H2O to forecast it.

Predictive Maintenance: pure code
Predictive AnalyticsInstead of the easy Dataiku solution, here is a classic code-only approach.

Imbalanced data
Data ScienceImbalanced data with sample code in R.

C++ implementation of customer propensity scoring for R
Data ScienceFast propensity scoring with C++ in R.

Image recognition using MXNet
Artificial IntelligenceImage recognition using MXNet. Fast and easy.

Portfolio optimization applied to marketing
Data Science, OptimizationUsing modern portfolio theory in digital marketing optimization.

Filtering out noise with chi2
Data ScienceUsing chi2 to find signals in noisy data.

Stochastic integrals via R
Data ScienceThe rules for random things are somewhat different than the ones you know for 'smooth' things. In a university course you get proofs based on Martingales, Wiener measures and whatnot but it all can feel very abstract. Even the basic examples can be confusing. So, here I want to show you that without knowing any high-tech maths you can see from basic examples in R how and that it works.

Monads (with snippets in R and Swift)
CategoriesThe literature and information around monads and categories is sometimes confusing because it has many aspects and depending on the background many overlapping or equivalent terms are used.

Time series in R
Time SeriesA tutorial on forecasting time series with R.