Powering Smarter AI And LLMs With The Right Data Strategy

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...
ascopubs.org

Augmenting Real-World Data Through Modeling Key Clinical Trial Eligibility Criteria: An Example of Patients With Non–small-Cell Lung Cancer Treated With Pembrolizumab

Data Matching to Support Analysis of Cancer Epidemiology Among Veterans Compared With Non-Veteran Populations—An Exemplar in Brain Tumors Real world data (RWD) were from the Flatiron Health advanced ...
dbta

Getting the “Business” into Business-Oriented Data Modeling – Practical Techniques & Examples by Alec Sharp

Getting the “Business” into Business-Oriented Data Modeling – Practical Techniques & Examples by Alec Sharp This white paper by industry expert Alec Sharp illustrates these points and provides ...
CoinTelegraph

Training vs. testing data in machine learning

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...
TechRepublic

What is predictive modeling?

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. Image: ...
TechRepublic

How to use Excel’s Data Model to turn related data into meaningful information

How to use Excel’s Data Model to turn related data into meaningful information Your email has been sent Excel's Data Model feature allows you to build relationships between data sets for easier ...
Investopedia

Overfitting in Data Modeling: Understanding and Prevention

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Investopedia / Zoe Hansen Overfitting occurs when a model is too closely ...
Microsoft

Detecting backdoored language models at scale

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.