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research.google | ||
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bookdown.org
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| | | | | A primary goal of predictive modeling is to find a reliable and effective predic- tive relationship between an available set of features and an outcome. This book provides an extensive set of techniques for uncovering effective representations of the features for modeling the outcome and for finding an optimal subset of features to improve a model's predictive performance. | |
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blog.research.google
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| | | | | [AI summary] This blog post introduces Stochastic Re-weighted Gradient Descent (RGD), a novel optimization algorithm that improves deep neural network performance by re-weighting data points during training based on their difficulty, enhancing generalization and robustness against data distribution shifts. | |
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juliasilge.com
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| | | | | A data science blog | |
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www.chrisritchie.org
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| | | Lordstown marketing subreddit and my six month wheel trading report card | ||
