Sunday, December 31, 2017

Top 10 new GitHub features of 2017

As 2017 comes to a close, let's have a look at the best features that the GitHub developer team has introduced this year, ranging from protected branches to improved project management and completely new IDEs.

Friday, December 22, 2017

Holiday Sale: eBooks and videos for $5

Looking for a last-minute Christmas gift? Packt Publishing is holding a special holiday sale: Act now to get the eBook version of Machine Learning for OpenCV, OpenCV with Python Blueprints, and OpenCV: Computer Vision Projects with Python for only $5 each!

Limited time only.

Saturday, December 2, 2017

How to classify iris species using logistic regression

Despite its name, logistic regression can actually be used as a model for classification. In this post I will show you how to build a classification system in scikit-learn, and apply logistic regression to classify flower species from the famous Iris dataset.

Friday, November 24, 2017

Black Friday Sale

Some virtual turkey for all the nerds out there: Enjoy the eBook version of Machine Learning for OpenCV, OpenCV with Python Blueprints, and OpenCV: Computer Vision Projects with Python for only $10 each!

Monday, November 20, 2017

How to integrate essential scikit-learn functions with OpenCV

OpenCV's machine learning module provides a lot of important estimators such as support vector machines (SVMs) or random forest classifiers, but it lacks scikit-learn-style utility functions for interacting with data, scoring a classifier, or performing grid search with cross-validation. In this post I will show you how to wrap an OpenCV classifier as a scikit-learn estimator in five simple steps so that you can still make use of scikit-learn utility functions when working with OpenCV.