Tag: rule
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The Rule Everyone Misses: How to Stop Confusing loc and iloc in Pandas
The Rule Everyone Misses: How to Stop Confusing loc and iloc in Pandas A simple mental model to remember when each one works (with examples that finally click). The post The Rule Everyone Misses: How to Stop Confusing loc and iloc in Pandas appeared first on Towards Data Science. Ibrahim Salami Go to original source
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Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation arXiv:2508.20942v1 Announce Type: new Abstract: In this paper, we extend the transfer learning classification framework from regression function-based methods to decision rules. We propose a novel methodology for modeling posterior drift through Bayes decision rules. By exploiting the geometric…
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Efficient Graph Storage for Entity Resolution Using Clique-Based Compression
Efficient Graph Storage for Entity Resolution Using Clique-Based Compression In the world of entity resolution (ER), one of the central challenges is managing and maintaining the complex relationships between records. At its core, Tilores models entities as graphs: each node represents a record, and edges represent rule-based matches between those records. This approach gives us…
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The Total Derivative: Correcting the Misconception of Backpropagation’s Chain Rule
The Total Derivative: Correcting the Misconception of Backpropagation’s Chain Rule This article uses concepts from this brilliant paper. For a deeper understanding of the mathematics please refer to the paper. Here we try to present the math in a more intuitive and explicit way, with some important nuances highlighted. 1 Introduction Discussions about Backpropagation often…
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How to Optimize your Python Program for Slowness
How to Optimize your Python Program for Slowness Also available: A Rust version of this article. Everyone talks about making Python programs faster [1, 2, 3], but what if we pursue the opposite goal? Let’s explore how to make them slower — absurdly slower. Along the way, we’ll examine the nature of computation, the role of memory,…
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Jeffrey’s update rule as a minimizer of Kullback-Leibler divergence
Jeffrey’s update rule as a minimizer of Kullback-Leibler divergence arXiv:2502.15504v1 Announce Type: new Abstract: In this paper, we show a more concise and high level proof than the original one, derived by researcher Bart Jacobs, for the following theorem: in the context of Bayesian update rules for learning or updating internal states that produce predictions,…