[Part 3] Predicting Numbers or Choosing Categories?: A Gentle Explanation of Regression and Classification

Estimated reading time: approx. 3 minutes 30 secondsIn machine learning, models learned from past data are used to predict ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...
BIOENGINEER

AI Learns to Pick the Best Clustering Algorithm Before Any Data Is Labeled

Researchers have developed a meta-learning framework that recommends the best clustering algorithm for generating ...
Digital Journal

Why machine learning matters for business

The key advantage of machine learning is that it enables computers to access hidden insights, finding patterns that can either be used by researchers to find hitherto unknown patterns (as might be ...
Health Affairs

The Trillion-Dollar Algorithm: Lessons From Machine Learning For MA Risk Adjustment

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

From equations to Instagram feeds: how ‘algorithm’ changed its meaning

The changing use of the word algorithm reflects this enhanced visibility. In fact, the meaning of this word has changed ...
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 ...