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: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
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: Dan Clark A selection of top tips to obtain great results on Kaggle leaderboards, including useful code examples showing how best to use Latitude […] Read More
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Author: William Vorhies Summary: Here are our 5 predictions for data science, machine learning, and AI for 2019. We also take a look back at […] Read More
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Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] 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