The "Python Machine Learning (2nd edition)" book code repository and info resource - rasbt/python-machine-learning-book-2nd-edition
Deep learning models excel at learning from a large number of labeled examples, but typically do not generalize to conditions not seen during training. This post gives an overview of transfer learning
Using data from House Prices: Advanced Regression Techniques
Stacking is a model ensembling technique used to combine information from multiple predictive models to generate a new model.
Understanding the basic problems and workflow (part 1)
Machine learning algorithms aren’t difficult to grasp if you understand the basic concepts. Here, a SAS data scientist describes the foundations for some of today’s popular algorithms.
Some researchers have been able to create images that can fool machine learning algorithms and look absolutely normal to our eyes.... these images are called adversarial images.