Forbes

How To Avoid Bias In Machine Learning Algorithms

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...
Android Police

Machine Learning: Everything you need to know

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...
ascopubs.org

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
MobiHealthNews

Study: Few randomized clinical trials have been conducted for healthcare machine learning tools

A review of studies published in JAMA Network Open found few randomized clinical trials for medical machine learning algorithms, and researchers noted quality issues in many published trials they ...
IT Business Edge

Python for Machine Learning: A Tutorial

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...
Nasdaq

MicroAlgo Inc. Researches Quantum Machine Learning Algorithms to Accelerate Machine Learning Tasks

This press release contains statements that may constitute "forward-looking statements." Forward-looking statements are subject to numerous conditions, many of which are beyond the control of ...
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 ...
Nature

AI finds signs of life in ancient rocks

A specially trained algorithm could aid the search for biological activity both on the early Earth and on other worlds.

What is Machine Learning?

Imagine a future where computers don’t just follow orders - they think, adapt, and learn from their mistakes. Well, guess ...
Science Daily

Not too big: Machine learning tames huge data sets

A machine-learning algorithm demonstrated the capability to process data that exceeds a computer's available memory by identifying a massive data set's key features and dividing them into manageable ...