techtarget

How to use machine learning to build a predictive algorithm

Machine learning is being used to create predictive algorithms for everything from stock market forecasts and customer prospecting to predicting when manufacturing equipment will fail and which ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

How Far Can Machine Learning Be Used for Human Pharmacokinetic Prediction? — Roles of Allometry, PBPK, and Machine Learning

Hello.This is Pharmer.In this article, I will organize how far machine learning can be used for human pharmacokinetics (PK) ...
Phys.org

A step-by-step tutorial for applying machine learning to drug resistance

Using a previously published data set—comprised of 1,936 E. coli strains from patients that were tested against 12 antibiotics—the students developed a step-by-step tutorial for four different popular ...
techtarget

AI vs. machine learning vs. deep learning: Key differences

Organizations of all sizes use different types of AI to facilitate key functions. Distinguishing among AI technologies and understanding their architectures is essential to choosing AI to fit use ...
asce.org

Machine Learning, Wetlands, and Nature-Based Solutions for Coastal Engineering

This presentation explores how machine learning can be used to model storm surge hazards at continental and global scales. Participants will learn why broadscale storm surge information is important ...
Greenbot

Machine Learning vs Rule-Based Systems: Key Differences Explained

Sophia Feona Cantiller, a cum laude graduate in Computer Science from the University of the Philippines, swapped coding bugs for content buzz. Her true love? Writing stories. We maintain a strict ...