This article offers a comprehensive course on machine learning, covering topics such as data analysis, data scrubbing, and key algorithms. It also includes free…
Browsing: Support Vector Machines
Machine learning classification techniques, such as Naive Bayes, Support Vector Machines, Random Forest, and Neural Networks, are effective tools for addressing data quality issues.…
This article discusses the use of machine learning models for cancer identification and characterization from the microbiome. It covers various methods and their advantages…
This article discusses various methods for protecting edge computing and IoT-based frameworks from intrusion detection and identification. The research analyzes existing studies and compares…
This article explores the top 10 algorithms for image recognition, including Convolutional Neural Networks, Deep Convolutional Neural Networks, Support Vector Machines, and Random Forests.…
Artificial intelligence and machine learning are transforming the agriculture sector by enabling higher levels of efficiency and productivity. Linear regression, decision trees, random forests,…
This article discusses how machine learning algorithms are being used to make more accurate crop yield predictions in the agriculture industry. Linear regression, decision…
Predictive analytics is a powerful force in redefining Remote Patient Monitoring (RPM), harnessing the potency of data-driven algorithms, deep learning, and artificial intelligence. By…
Machine learning is a branch of artificial intelligence that gives computers the ability to learn from their experiences and get better on their own.…
This Special Issue aims to publish extended versions of papers in machine learning communications and electronics. Potential topics include but are not limited to…