Deep Learning with Yacine on MSN

How to Compare Machine Learning Models Using Bootstrap Resampling in Scikit-Learn

Sharpie Found a Way to Make Pens More Cheaply—By Manufacturing Them in the U.S. She Took Taylor Swift's Spot As the Youngest ...
Game Rant

Borderlands 4: Where to Find Ordenite and Eridium in Electroshock Therapy

Marc Santos is a Guides Staff Writer from the Philippines. He's a seasoned writer with over four years of industry experience, and he is an enjoyer of all things difficult in gaming. If Marc's not ...
IEEE

A Review on Quantum Machine Learning in Applied Systems and Engineering

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
IEEE

Energy-Efficient Federated Learning in Symbiotic IoT Networks through Heterogeneity-aware Client Sampling

Abstract: Federated Learning (FL) in symbiotic IoT networks is a promising collaborative paradigm that utilizes IoT devices to co-train machine learning models, promising to accelerate edge ...
Scientific Research Publishing

Huang, A. A., & Huang, S. Y. (2023). Increasing Transparency in Machine Learning through Bootstrap Simulation and Shapely Additive Explanations. PLOS ONE, 18, e0281922.

ABSTRACT: Machine learning (ML) has revolutionized risk management by enabling organizations to make data-driven decisions with higher accuracy and speed. However, as machine learning models grow more ...
Frontiers

Advances in machine learning for the detection and characterization of microplastics in the environment

1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...
Frontiers

Developing machine learning models for predicting cardiovascular disease survival based on heavy metal serum and urine levels

Background: Environmental exposure to heavy metals, such as arsenic, cadmium, and lead, is a known risk factor for cardiovascular diseases. Objective: We aim to examine the associations between heavy ...
C&EN

Integrating Machine Learning-Based Pose Sampling with Established Scoring Functions for Virtual Screening

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Christian Doppler Laboratory ...