Tag: power
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Power-SMC: Low-Latency Sequence-Level Power Sampling for Training-Free LLM Reasoning
Power-SMC: Low-Latency Sequence-Level Power Sampling for Training-Free LLM Reasoning arXiv:2602.10273v1 Announce Type: new Abstract: Many recent reasoning gains in large language models can be explained as distribution sharpening: biasing generation toward high-likelihood trajectories already supported by the pretrained model, rather than modifying its weights. A natural formalization is the sequence-level power distribution $pi_alpha(ymid x)propto p_theta(ymid…
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Beyond Prompting: The Power of Context Engineering
Beyond Prompting: The Power of Context Engineering Using ACE to create self-improving LLM workflows and structured playbooks The post Beyond Prompting: The Power of Context Engineering appeared first on Towards Data Science. Mariya Mansurova Go to original source
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The Ultimate Guide to Power BI Aggregations
The Ultimate Guide to Power BI Aggregations Aggregations are one of the most powerful features in Power BI — learn how to leverage this feature to improve the performance of your Power BI solution The post The Ultimate Guide to Power BI Aggregations appeared first on Towards Data Science. Nikola Ilic Go to original source
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Power Analysis in Marketing: A Hands-On Introduction
Power Analysis in Marketing: A Hands-On Introduction Part 1: What is statistical power and how do we compute it? The post Power Analysis in Marketing: A Hands-On Introduction appeared first on Towards Data Science. Sam Arrington Go to original source
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The Power of Framework Dimensions: What Data Scientists Should Know
The Power of Framework Dimensions: What Data Scientists Should Know Practical guidance and a case study The post The Power of Framework Dimensions: What Data Scientists Should Know appeared first on Towards Data Science. Chinmay Kakatkar Go to original source
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What Is a Query Folding in Power BI and Why should You Care?
What Is a Query Folding in Power BI and Why should You Care? “Will that break a query folding?” “Does your query fold?”… Maybe someone asked you those questions, but you were like: “Query…Whaaaat?! In this article, we demistify the query folding and its importance for efficient data refresh in Power BI The post What…
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Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited
Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited arXiv:2507.02377v1 Announce Type: new Abstract: Inducing-point-based sparse variational Gaussian processes have become the standard workhorse for scaling up GP models. Recent advances show that these methods can be improved by introducing a diagonal scaling matrix to the conditional posterior density given the inducing points. This paper first…
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Implementing IBCS rules in Power BI
Implementing IBCS rules in Power BI Is there a way to use the out-of-the-box features of Power BI to be IBCS compliant? The post Implementing IBCS rules in Power BI appeared first on Towards Data Science. Salvatore Cagliari Go to original source
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How to Reduce Your Power BI Model Size by 90%
How to Reduce Your Power BI Model Size by 90% Have you ever wondered what makes Power BI so fast and powerful when it comes to performance? Learn on a real-life example about data model optimization and general rules for reducing data model The post How to Reduce Your Power BI Model Size by 90%…
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Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France
Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France arXiv:2504.16100v1 Announce Type: cross Abstract: Accurate prediction of non-dispatchable renewable energy sources is essential for grid stability and price prediction. Regional power supply forecasts are usually indirect through a bottom-up approach of plant-level forecasts,…
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Power Spectrum Signatures of Graphs
Power Spectrum Signatures of Graphs arXiv:2503.09660v1 Announce Type: new Abstract: Point signatures based on the Laplacian operators on graphs, point clouds, and manifolds have become popular tools in machine learning for graphs, clustering, and shape analysis. In this work, we propose a novel point signature, the power spectrum signature, a measure on $mathbb{R}$ defined as…
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My Experience Switching From Power BI to Looker (as a Senior Data Analyst)
My Experience Switching From Power BI to Looker (as a Senior Data Analyst) What you need to know before you switch from Power BI to Looker. Continue reading on Towards Data Science » Tomas Jancovic (It’s AI Thomas) Go to original source
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Four Ways to Improve Statistical Power in A/B Testing (Without Increasing Test Duration, Duh)
Four Ways to Improve Statistical Power in A/B Testing (Without Increasing Test Duration, Duh) In A/B testing, you often have to balance statistical power and how long the test takes. Learn how Allocation, Effect Size, CUPED & Binarization can help you. Image by author In A/B testing, you often have to balance statistical power and how long…
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Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query!
Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! 5 practical use cases that prove Power Query is worth exploring. I have a confession to make: I’ve been living under a rock 🪨. Not literally, but how else can I explain not discovering Power Query in Excel until now? Imagine…
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Spatio-Temporal Conformal Prediction for Power Outage Data
Spatio-Temporal Conformal Prediction for Power Outage Data arXiv:2411.17099v1 Announce Type: new Abstract: In recent years, increasingly unpredictable and severe global weather patterns have frequently caused long-lasting power outages. Building resilience, the ability to withstand, adapt to, and recover from major disruptions, has become crucial for the power industry. To enable rapid recovery, accurately predicting future…