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 ...

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 ...

Spreadsheets are still useful, but if you do a lot of work with numbers, you'll realize that they have limitations. Spreadsheets like Excel will make you click and drag through columns. If you have a ...

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 ...

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

David Kindness is a Certified Public Accountant (CPA) and an expert in the fields of financial accounting, corporate and individual tax planning and preparation, and investing and retirement planning.

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 ...

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 ...

President Donald Trump's administration warned on Tuesday the United States could impose fees or restrictions on European service providers in response to what it called “discriminatory” actions ...

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, ...

Introduction Sleep problems are an escalating global health concern, with prevalence estimates ranging from 8.3% to 45%. Physicians are disproportionately affected, with rates around 44% compared with ...