BIOENGINEER

Bayesian Framework Merges Clinical Expertise With Machine Learning Diagnosis

A new Bayesian framework called PIML combines machine learning analysis of electrical impedance signals with clinical prior ...

[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 ...
MarketScreener

WiMi Hologram Cloud Inc. Studies Hybrid Quantum Neural Network Architecture With Classical-Quantum Synergistic Innovation To Enhance Efficiency And Accuracy In Image Classification

WiMi Hologram Cloud Inc. announced that it is researching the application of quantum machine learning to image classification. Its researched hybrid quantum neural network architecture, through ...

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

Amin's research applies AI and machine learning especially multimodal, text, unsupervised, and graph-based methods to turn complex social-media, financial, organizational, e-commerce, database, and ...