The courses offered in this catalog are a curated collection of learning materials that provide an overview of Industry 4.0. It is designed to provide resources that businesses can use to understand ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

KStat - the Kellogg Statistics package - was designed for classroom use at the J.L. Kellogg Graduate School of Management. In its current form, it is "freeware", and may be used by anyone, for any ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Discover how to calculate EPS in Excel with easy formulas. Master this key financial indicator to enhance your investment strategies and analysis.

A practical guide to Excel sheet formulas, covering essential functions for faster calculations, cleaner data, and smoother ...

Data Descriptors, Scientific Data's primary article type, describe datasets. These must be made available to editors and referees at the time of submission and be shared with the scientific community ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

Republican lawmakers decry Intel's testing of Chinese-linked tools after Reuters report Republican lawmakers accused Intel this week of threatening U.S. national security after Reuters revealed the ...

Data is a critical component of SEO content strategy. Basing your writing on reliable data shows a commitment to accuracy, building your authority and credibility in readers’ eyes. This approach to ...

This guide was reviewed by a Business News Daily editor to ensure it provides comprehensive and accurate information to aid your buying decision. Modern businesses run on data. Companies regularly ...

Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning, ...