Category: Machine Learning

Author: Machine learning can offer new tools, fresh insights for the humanities  Ars Technica From the French Revolution to the history of the novel, Big Data […] Read More

Author: Jason Brownlee Model ensembles can achieve lower generalization error than single models but are challenging to develop with deep learning neural networks given the […] Read More

Author: Machine learning algorithms enable physical activity data to be re-identified  Health Data Management By leveraging machine learning algorithms, it is possible to re-identify physical activity […] Read More

Author: Jason Brownlee Supervised learning is challenging, although the depths of this challenge are often learned then forgotten or willfully ignored. This must be the […] Read More

Author: An Executive’s Guide To Understanding Cloud-based Machine Learning Services  Forbes Machine learning platforms are one of the fastest growing services of the public cloud. Unlike […] Read More

Author: Jason Brownlee Model averaging is an ensemble technique where multiple sub-models contribute equally to a combined prediction. Model averaging can be improved by weighting […] Read More

Author: AI Weekly: 2018 in machine learning  VentureBeat Artificial intelligence is without question one of the most captivating and influential corners of the technology world today, […] Read More

Author: Jason Brownlee A modeling averaging ensemble combines the prediction from each model equally and often results in better performance on average than a given […] Read More

Author: 10 Ways Machine Learning Is Revolutionizing Sales  Forbes 62% of highest performing salespeople predict guided selling adoption will accelerate based on its ability rank potential […] Read More

Author: Jason Brownlee Predictive modeling problems where the training dataset is small relative to the number of unlabeled examples are challenging. Neural networks can perform […] Read More