BIOENGINEER

SHAP Feature Selection Yields Major Accuracy Gains in Eco-Medical Disease Models

A systematic evaluation shows that feature selection performance in multiclass biomedical classification is highly ...
BIOENGINEER

Machine learning sharpens leukemia diagnosis but waits on rigorous validation

A literature review finds that machine learning and bioinformatics have improved AML classification and risk stratification, ...
VentureBeat

3 big problems with datasets in AI and machine learning

Datasets fuel AI models like gasoline (or electricity, as the case may be) fuels cars. Whether they're tasked with generating text, recognizing objects, or predicting a company's stock price, AI ...
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 = ...

[G Certification Day 9] What is Unsupervised Learning in AI? k-means, Principal Component Analysis, and Recommendation Systems

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

[G-Certification Day 8] What is Supervised Learning in AI? Linear Regression, SVM, and Decision Trees

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