[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 ...

Organizing AI, Machine Learning, and Deep Learning through Familiar Tasks

AI, machine learning, and deep learning. You see these terms repeatedly in introductory materials, yet you might stumble when ...
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

Hybrid AI Model Reads Hyperspectral Images With Fewer Labels and Less Compute

Egyptian researchers have built a hybrid Vision Transformer and CNN framework with spectral band selection that outperforms ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Boston University

What is Machine Learning? The Foundations of ML in Practice

A strong foundation in mathematics plays a critical role in understanding artificial intelligence and adapting to ongoing technological change. Math underpins many machine learning basics, shaping how ...
ascopubs.org

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...
AZoM

Machine Learning Improves LIBS Classification of Real Plastic Waste Under Variable Laser Conditions

Researchers used machine learning-assisted laser-induced breakdown spectroscopy (LIBS) to classify PP, PET, HDPE, and LDPE ...
BIOENGINEER

New Adaptive Learning Method Keeps AI Models Sharp as Streaming Data Shifts

Researchers have introduced DACD, a dynamic adaptive learning method that detects concept drift in streaming data with a ...
Analytics Insight

How AI, Machine Learning Can Help Forecast Crypto Prices

Cryptocurrency markets generate enormous amounts of information. Artificial intelligence (AI) and machine learning systems can process price movements, trading ...