From Power Query to the Data Model, here are the five architectural gaps that keep me paying for Microsoft 365.
After playing with Copilot in Excel for a while, I decided to throw a messy sales sheet at Copilot to see if it could ...
Abstract: In data analysis, a significant amount of erroneous or incomplete data can hinder informed organizational decisions prompting the need for automated data cleaning. Leveraging successful ...
Discover 17 new Excel features and functions for 2026, so you track edits and data faster. Including auto-refreshing pivots ...
Handle millions of rows by loading queries into Power Pivot, building relationships, and creating measures for fast variance ...
FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...
Abstract: Large language models (LLMs) play an important role in modern NLP technology as they are versatile for a wide array of NLP tasks. However, constructing an LLM is challenging due to concealed ...
The following details transformation of open source raw data files from the Human Activity Recognition using Smartphones dataset in the UCI Machine Learning Repository from their initial raw component ...
This project investigates token quality from a noisy-label perspective and propose a generic token cleaning pipeline for SFT tasks. Our method filters out uninformative tokens while preserving those ...