Labroots

When Data Aren't Comparable: Why Harmonization Matters in High Throughput Proteomic

Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Amplio Details AI-Enabled Approach for Surplus Inventory and Asset Recovery in Industrial Enterprises

Company outlines data-driven appraisal, internal redeployment matching, and marketplace liquidation workflows designed ...
IEEE

Mining social media data based on Python web crawler technology --Taking Sina Weibo data analysis as an example

Abstract: In the context of the big data era, the extensive penetration of the Internet and the rapid development of database technology have led to an explosive growth in the amount of data generated ...
IEEE

Some Practical Aspects of the Relational Database Normalization Process

Abstract: Database normalization is a ubiquitous theoretical relational database analysis process. It comprises several levels of normal forms and encourage database designers not to split database ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
Forbes

Powering Smarter AI And LLMs With The Right Data Strategy

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 ...