Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

The dataset was normalized using a standard-scaling method (Equation 1). The standardized values were subsequently rescaled to the interval of (–1, 1) to enhance numerical stability and facilitate the ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

The U.S. Supreme Court’s 6–3 ruling striking down President Trump’s IEEPA tariffs reshapes the legal landscape of U.S. trade policy but leaves… Finish the year with a clearer view of the freight ...

Nitika Garg does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no ...

Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China Department of Computer Science, Abdul Wali Khan University Mardan, ...

Abstract: In this study, we aimed to evaluate the accuracy of loan sanction predictions using two different algorithms. We analyzed how well each algorithm performs by applying them to a sample size ...

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...

Delta hopes to use AI-driven pricing for 20% of tickets by year's end Senator Ruben Gallego called Delta's practice 'predatory pricing' The new AI-pricing strategy offers a glimpse into the future of ...