Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Google's open-source Meridian helps marketers build better models, understand lift by channel and finally bring sanity to ...

Background and aims Quantifying systemic inflammation (SI) in acutely decompensated cirrhosis (ADC) is of major importance ...

Abstract: The Kappa Regression algorithm has been shown to provide great performance results, but hyper-parameter tuning can, at times, be computationally intensive. The algorithm in-cludes a single ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Running a 600B parameter model on hardware with limited VRAM requires careful planning and optimization. Here are some ...

Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers ...

Abstract: As is well known, it is necessary to derive stellar parameters from massive amounts of spectral data automatically and efficiently. However, in traditional automatic methods such as ...

Regression analysis shows that the radius of the pre-chamber is the most influential design parameter. The current work not only sheds light on the optimization of engine design, but also has ...