data splitting
data splitting on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on data splitting in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around data splitting, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
How to handle cofound variables? [D]
You’ve identified a critical challenge: your object classification model appears to be inadvertently learning range as a proxy for object size, rather than true class distribution. This is a classic confounding variable issue—range is correlated with distance, which influences the number of points returned, potentially skewing your results. To stress-test this, consider stratifying your datasets to ensure range distributions differ across training and validation sets. Alternatively, explore feature engineering techniques or, as a baseline, temporarily exclude range to assess performance impact.
Word tables to Excel
Facing a data extraction challenge? You’re not alone. Many users encounter difficulties moving tables from Word documents – particularly those with complex formatting – into Excel, especially when dealing with lists like languages in the final column. Manually manipulating these files can be tedious and prone to error. Explore a more efficient approach: our AI-native spreadsheet technology empowers you to transform these workflows, automatically splitting lists into individual rows within Excel. If you've encountered unpredictable #SPILL! errors while working with formulas, our article "Unpredictable #SPILL!