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Author: Vincent Granville The new advice today for data scientists is not to become a generalist. You can read recent articles on this topic, for […] Read More
Author: Dan Clark This article outlines possible sources of satellite imagery, what its properties are and how this data can be utilised using R. Go […] Read More
Author: Dan Clark Key highlights from the Interspeech conference, with topics covering end-to-end models for automatic speech recognition, information theory approach to deep learning, speech […] Read More
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: Dan Clark A brief introduction to feature engineering, covering coordinate transformation, continuous data, categorical features, missing values, normalization, and more. Go to Source
Author: Dan Clark We explain the key differences between explainability and interpretability and why they’re so important for machine learning and AI, before taking a […] Read More