Category: Machine learning
A workshop about Machine Learning in R with H2O and LIME, from experts to R lovers. Very few seats available, register soon! The 25th of June at Mikamai. The post...continue reading.
A guest post by @MaxMaPichler, MSc student in the Group for Theoretical Ecology / UR Artificial neural networks, especially deep neural networks and (deep) convolutions neural networks, have become increasingly popular...continue reading.
Model averaging in ecology: a review of Bayesian, information-theoretic and tactical approaches for predictive inference
This (co-)guest post by Carsten F. Dormann & Florian Hartig summarizes a comprehensive review on model averaging for predictive inference, just published in Ecological Monographs.continue reading.
A brief introduction to machine learning using the intuition behind decision trees and random forest for non-developers.continue reading.
Well, what you hate is the way that math was taught to you. This post is a try to re-discover the beauty of learning math by finding a purpose, using...continue reading.
Now that software ate the world, what’s for dessert? Those in the know know that it’s AI. It seems everyone …Continue reading →continue reading.