Author: William Vorhies Summary: The fourth and final AI strategy we’ll review is Systems of Intelligence (SOI). This is getting nearly as much attention as […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Jason Brownlee The choice of a statistical hypothesis test is a challenging open problem for interpreting machine learning results. In his widely cited 1998 […] Read More
Author: Rob Matheson | MIT News Office MIT Media Lab researchers have developed a machine-learning model that takes computers a step closer to interpreting our […] Read More
Author: Matt Mayo Editor Also: Efficient Graph-based Word Sense Induction; 5 Quick and Easy Data Visualizations in Python with Code; Explaining the 68-95-99.7 rule for […] Read More
Author: William Vorhies Summary: Exceptions sometimes make the best rules. Here’s an example of well accepted variable reduction techniques resulting in an inferior model and […] Read More
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Author: Jason Brownlee What neural network is appropriate for your predictive modeling problem? It can be difficult for a beginner to the field of deep […] Read More
Author: Gregory Piatetsky I talk to Kirill Eremenko about my journey to data science, how KDnuggets started, why you should start honing your machine learning […] 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