The Tech Edvocate

How to use Keras

Spread the love“`html Keras has emerged as one of the most popular deep learning libraries in recent years, notable for its simplicity and ease of use. Whether you’re a seasoned data scientist or a ...
Technology Networks

AI Applications in Phenotypic Screening

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...
AlphaGalileo

Machine Learning Uncovers Dihydromyricetin as a Novel TGF-β/ALK5 Inhibitor for Pulmonary Fibrosis

Idiopathic pulmonary fibrosis remains a hard-to-treat lung disease with limited effective drugs. A recent study in Engineering used machine learning ...
Science Daily

Scientists build a “periodic table” for AI

"Just as important," Nemenman says, "it may let us design new AI methods that are more accurate, efficient and trustworthy." A Physics Driven Perspective on Machine Learning The researchers approached ...
IEEE

Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare

Abstract: Heart disease is one of the complex diseases and globally many people suffered from this disease. On time and efficient identification of heart disease plays a key role in healthcare, ...
lse

ME315: Machine Learning in Practice

From chatbots, personalised recommendations on social media, traffic predictions and virtual personal assistants including Siri and Alexa, advances in machine learning are becoming an integral tool ...
LinkedIn

Classification models in Machine Learning

This article introduces classification models in machine learning, which are used to categorize data into predefined classes. It covers key types (binary, multiclass, multilabel), how these models ...
LinkedIn

Ensemble Methods in Machine Learning: Boosting and Bagging

Ensemble methods are among the most powerful tools in a machine learning practitioner’s arsenal. By combining multiple models, these techniques enhance performance, reduce overfitting, and improve ...
ascopubs.org

A machine learning–based multidimensional model integrating clinical, radiomics, and cell-free DNA methylation biomarkers for the classification of pulmonary nodules.

Systematic review and meta-analysis of the accuracy and applicability of blood-based multi-cancer early detection (MCED) in the general population. This is an ASCO Meeting Abstract from the 2023 ASCO ...
Nature

Vickers hardness prediction from machine learning methods

Hardness is a measure of the resistance of a material to localized plastic deformation. Over the years, several hardness-testing techniques (like Brinell, Vickers, Knoop and Rockwell) have been ...
Nature

Earthquake multi-classification detection based velocity and displacement data filtering using machine learning algorithms

Earthquake is one of the natural disasters that have a big impact on society. Currently, there are many studies on earthquake detection. However, the vibrations that were detected by sensors were not ...