Abstract: This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The ...

Would Warren Buffett’s investment strategy be any different if he were a young man investing for the first time today, compared to when he got started back in the 1940s? This is the question someone ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. For regression analysis [David] includes statsmodels and Pingouin. If you’re not familiar with ...

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks you through calculating the slope and intercept, predicting new values, and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...

This C library provides efficient implementations of linear regression algorithms, including support for stochastic gradient descent (SGD) and data normalization techniques. It is designed for easy ...

For centuries, we have relied on human intuition, behavioral cues, and painstaking manual analysis to determine veracity in written communications. Enter artificial intelligence. AI algorithms, ...