BIOENGINEER

Intelligent Undersampling Algorithm Enhances Machine Learning Accuracy on Imbalanced Data

Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with ...
BIOENGINEER

Machine Learning Pinpoints Candidate MicroRNA Signature for Oral Cancer

An integrative machine learning analysis of public tissue transcriptomic datasets identified a candidate 30-microRNA ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
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, ...
Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
techtarget

How to use machine learning to build a predictive algorithm

Machine learning is being used to create predictive algorithms for everything from stock market forecasts and customer prospecting to predicting when manufacturing equipment will fail and which ...

[G Certification Day 9] What is Unsupervised Learning in AI? k-means, Principal Component ...

Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...
Android Police

Machine Learning: Everything you need to know

If you've ever wondered whether an AI feature on your phone is doing anything useful, Ben Khalesi has probably asked the same question. He has covered AI and Android for Android Police since 2023, ...