Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

The explosion in data quantity has kept the marriage of computing and statistics thriving through successive hype cycles: “big data,” “data science,” and now “AI.” ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Following the comments by Moore and Zeigler on the analogy between the analysis of quantal responses and non-linear regression, the analogy between the former and linear weighted regression is ...

A new study published in the journal of BMC Women's Health showed that menstrual abnormalities are significantly increased by ...

Elevated maternal uric acid levels during early to mid-gestation are independently associated with an increased risk of ...

India’s TV audience is set to cross one billion by 2029, growing at a steady 2–3 percent a year, an IIM Ahmedabad study shows. The growth will be driven largely by rising incomes and internet access ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Background: Middle-aged and older endurance athletes have increased prevalence of coronary artery disease (CAD) on coronary CT angiography (CCTA) compared to healthy controls, despite similarly low ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

By Priyanjana Pramanik, MSc. A large European study shows that clubs systematically discount players with higher predicted ...