BIOENGINEER

Task-evoked brain signals dominate machine learning classification of adolescent borderline personality disorder

A leakage-controlled multimodal machine learning study of 251 adolescents shows task-evoked fMRI features during emotional response inhibition provide the strongest discriminative signal for ...
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 ...

[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 ...
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 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 ...
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Meet Amin: Applying artificial intelligence to complex problems in digital media, finance and enterprise analytics

The advent of artificial intelligence technology is no longer limited to mere experiments but has extended into the systems used to understand information and patterns and to make decisions. With the ...