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 ...

Before it took over her life, Leila Gharani mostly took Microsoft Excel for granted. She was working on a process optimization project for a large paper-products manufacturer—a job that, to hear her ...

After a decade testing PCs, routers, and networks, I know what really slows things down - and how to optimize your connection.

Spreadsheets are still useful, but if you do a lot of work with numbers, you'll realize that they have limitations.

Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming.

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

CU Boulder researchers apply machine learning to snow hydrology in Colorado mountain drainage basins, finding a new way to accurately predict the availability of water Determining how much water is ...

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, ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's salary based on age, height, years of experience, and so on ...

Linear to Logistic regression Introduction In this lesson, you'll be introduced to the logistic regression model. You'll start with an introductory example using linear regression, which you've seen ...