Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Phys.org

How a new algorithm predicts cell fate from just one genetic snapshot

Researchers at Karolinska Institutet and KTH have developed a computational method that can reveal how cells change and specialize in the body. The study, which has been published in the journal PNAS, ...
SciELO

Comparative machine learning models for hypertension prediction in a cohort of patients with diabetes using routine clinical variables

Objective: To evaluate and to compare machine learning models for predicting hypertension in patients with diabetes using routine clinical variables. Methods: Using Behavioral Risk Factor Surveillance ...
Scientific Research Publishing

Ruder, S. (2016) An Overview of Gradient Descent Optimization Algorithms. arXiv Preprint.

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
Ars Technica

Valve’s Steam Machine looks like a console, but don’t expect it to be priced like one

After Valve announced its upcoming Steam Machine living room box earlier this month, some analysts suggested to Ars that Valve could and should aggressively subsidize that hardware with “loss leader” ...
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
Hosted on MSN

Gradient Descent from Scratch in Python – Step by Step Tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. LDS Church's presidency reveal sparks "hilarious" ...
Frontiers

Evaluating machine learning models for stroke prediction based on clinical variables

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...
Newsweek

‘The Smashing Machine’ Early Reviews Are All Leaning One Way

Dwayne Johnson has been known worldwide as "The Rock," one of the greatest wrestlers the sport has ever seen. He also began to switch to a movie star in the early 2000s, and has since taken the world ...
siliconera

One Piece Nami Summer Vacation Variable Action Heroes Figure Returns

Like all the Variable Action Heroes figures of Nami, the One Piece heroine stands at almost seven inches tall (160mm). As it is an action figure, it is also fully articulated and comes with additional ...
JSTOR Daily

Scalable statistical inference for averaged implicit stochastic gradient descent

Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...