Williams-Sonoma remains fairly valued after a 20% surge, with growth priced in and limited upside ahead. Read why WSM stock ...
AZoBuild on MSN
New Study Uses Fuzzy Logic to Accurately Predict Hardness in High-Performance Concrete
A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...
Now Hear This is a monthly A&R column that provides you with exciting new sounds we discovered through the innovative new ...
News-Medical.Net on MSN
Aging, not smartphones, drives America’s growing loneliness crisis
This study highlights how age and cohort dynamics, rather than smartphones, are key drivers of rising social isolation in the ...
Objective To clarify whether atherogenic index of plasma (AIP), a comprehensive indicator reflecting both the protective and ...
Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...
Every on MSN
Seeing Science Like a Language Model
Dan Shipper in Chain of Thought I’m writing a book about the worldview I’ve developed by writing, coding, and living with AI. Last week I published the first piece from it, about the differences ...
Among ICU patients with cirrhosis and sepsis, a high lactate-to-hematocrit ratio predicted short- and long-term mortality.
Deep Learning with Yacine on MSN
Building Multivariate Linear Regression in C++ — No Libraries, Just Code
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.
Artificial Intelligence is reshaping the future of investing by turning data into actionable insights. From predicting market ...
Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
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