Three Essential Hyperparameter Tuning Techniques for Better Machine Learning Models
[ad_1] Learning (ML) model should not memorize the training data. Instead, it should learn well from the given training data ...
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Cracking the Density Code: Why MAF Flows Where KDE Stalls
[ad_1] One of the main problems that arises in high-dimensional density estimation is that as our dimension increases, our data ...
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A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That?
[ad_1] chapter of the in-progress book on linear algebra, “A birds eye view of linear algebra”. The table of contents ...
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Data Mesh Diaries: Realities from Early Adopters
[ad_1] weaving its way into the spotlight over the past few years, as organizations try to find alternatives to centralized ...
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“My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“
[ad_1] In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data ...
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How to Use LLMs for Powerful Automatic Evaluations
[ad_1] discuss how you can perform automatic evaluations using LLM as a judge. LLMs are widely used today for a ...
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Coconut: A Framework for Latent Reasoning in LLMs
[ad_1] Paper link: https://arxiv.org/abs/2412.06769 Released: 9th of December 2024 Figure 1. The two reasoning modes of Coconut. In Language Mode ...
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How to Write Insightful Technical Articles
[ad_1] , I discuss how you can write technical articles. I have been writing such articles for around 2.5 years, ...
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How to Design Machine Learning Experiments — the Right Way
[ad_1] Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep ...
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From Data Scientist IC to Manager: One Year In
[ad_1] year, I wrote about my first 3-month manager experience. I shared some of the immediate changes I noticed, including ...
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