This final article in the series *Model evaluation, model selection, and algorithm selection in machine learning* presents overviews of several statistical…
I thought that it would be nice to have short and concise summaries of recent projects handy, to share them with a more general audience, including…
Almost every machine learning algorithm comes with a large number of settings that we, the machine learning researchers and practitioners, need to specify…
In this second part of this series, we will look at some advanced techniques for model evaluation and techniques to estimate the uncertainty of our…
Machine learning has become a central part of our life — as consumers, customers, and hopefully as researchers and practitioners! Whether we are applying…
It’s been about time. I am happy to announce that “Python Machine Learning” was finally released today! Sure, I could just send an email around to all the…
This has really been quite a journey for me lately. And regarding the frequently asked question “Why did you choose Python for Machine Learning?” I guess it…
This article offers a brief glimpse of the history and basic concepts of machine learning. We will take a look at the first algorithmically described neural…
Principal Component Analysis (PCA) is a simple yet popular and useful linear transformation technique that is used in numerous applications, such as stock…
Here, I want to present a simple and conservative approach of implementing a weighted majority rule ensemble classifier in scikit-learn that yielded…