What you'll learn: The difference between a traditional LDO and a digital LDO. Features of the new type of single-chip digital LDO. The linear regulator is a fundamental component in power ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Linear Regression vs. Multiple Regression: An Overview Linear regression (also called simple regression) is one of the most common techniques of regression analysis. Multiple regression is a ...

Article citations More>> Hamza, A.E. and Ahmed, S.M. (2013) Theory of Linear Hahn Difference Equations. Journal of Advances in Mathematics, 4, 441-461. has been cited by the following article: TITLE: ...

This paper provides an introduction to Linear Logistic Regression and its value in semiconductor yield and reliability analysis. The reliability community has become well experienced in fitting of ...

This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality. Objective: To develop an optimum model for predicting the ...

Investigated hidden factors influencing an actor’s success beyond talent. Applied NLP, network analysis, regression, clustering, and deep learning to analyze physical traits, social background, and ...

Logistic regression focuses on the main effects of influential factors, but is limited in its ability to handle interactions. In contrast, decision tree modeling eliminates the covariance between ...