Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

SCCG Announces Partnership Extension with Golden Whale – Driving AI-Led Optimization Across iGaming Operators

The partnership extension builds on a successful collaboration focused on helping operators move beyond traditional CRM and ...
CFO.com

Machine learning improves earnings forecast accuracy by 7%

A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
Frontiers

Modeling, Machine Learning, Bioinformatics and Multi-omics Data in Soil Science

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Fierce Healthcare

OR optimization platform Apella raises $80M to fuel health system expansion

Operating rooms are critical to surgical care and hospital revenue, but inefficiencies in the OR are a challenge at nearly ...
C&EN

Enhancing Engine Performance and Sustainability: Gold Nanoparticles and Machine Learning for Biodiesel Optimization in Compression Ignition Systems

Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), ...
IEEE

An Effective Antenna Shape Optimization Framework Employing Machine-Learning-Based Approach

Abstract: A machine-learning-based framework for antenna shape optimization design is presented, which enables an accelerated design process for antennas. The employment of a self-supervised learning ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...