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Machine learning made simple for beginners

Machine learning powers everything from streaming recommendations to medical image analysis. Knowing its core algorithms and uses can help you apply it in work and life. Here’s a clear, ...
TechAnnouncer

Demystifying Machine Languages: Practical Examples and Core Concepts

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...
Journal of Medical Internet Research

Beyond Comparing Machine Learning and Logistic Regression in Clinical Prediction Modelling: Shifting from Model Debate to Data Quality

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
IEEE

Machine Learning for ASD Screening: A Comprehensive Benchmark Study of Classification Algorithms Across Children, Adolescents and Adults

Abstract: This paper proposes a methodology for predicting Autism Spectrum Disorder (ASD) cases using Machine Learning (ML) and Deep Learning (DL) algorithms as a binary classification problem. We ...
GitHub

Ransomware Detection Using Static Machine Learning Features

This project evaluates how effectively static features extracted from Windows Portable Executable (PE) files can distinguish ransomware from benign software using supervised machine learning. This ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...
IEEE

Evaluating Machine Learning and Deep Learning Approaches for Binary Sentiment Classification

Abstract: One of the essential functions of the Natural Language Processing is the sentiment analysis that has been grown and improved through the utilization of traditional machine learning (ML) and ...