BIOENGINEER

AI Model Brings Transparency to the Chaotic World of Industrial Process Monitoring

Researchers at Central South University have developed an interpretable machine learning framework that fuses spatial and ...
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 ...
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 = ...

5 Practical Books for Python Machine Learning

Introduction I first started working with machine learning in earnest when I took on a small project to classify internal inquiry logs. I managed to get scikit-learn code running by piecing together ...
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, ...

3 Books to Bridge the Gap Between Machine Learning Theory and Implementation

Introduction A few years ago, I was running demand forecasting models for work. The accuracy was decent, and the dashboard ...
BIOENGINEER

Simple Machine Learning Model Teaches Robots to Dodge Obstacles in Crowded Spaces

Researchers have developed an adaptive logistic regression model that lets low-cost autonomous robots classify obstacles and ...
techtarget

How engineers can build a machine learning model in 8 steps

Machine learning (ML) is a foundational technology for modern AI, transforming the operational landscape of contemporary businesses. ML technology uses data to find patterns, spot anomalies and make ...