EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.
Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
Abstract: Low-altitude Internet of Things (LAIOT) integrates sensing, communication, and edge intelligence within aerial networks. As a distributed training paradigm, federated learning (FL) is a ...
Abstract: The effectiveness of dimension reduction analysis for high-dimensional process data is crucial to ensure industrial safety. Manifold learning methods can be advanced by considering both ...
NORMAL — The Town of Normal presented data and answered questions on the relocation of Fire Station No. 2.
AI and large language models (LLMs) are transforming industries with unprecedented potential, but the success of these advanced models hinges on one critical factor: high-quality data. Here, I'll ...
This repo implements research papers (DN-Splatter and AGS-Mesh) for depth and normal supervision of Gaussian splatting models for improved novel-view synthesis using smartphone data (iPhones) and mesh ...
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