
Statistics for Scientists
a concise guide for data-driven research
$127.16
- Hardcover
167 pages
- Release Date
19 July 2025
Summary
Data-Driven Discovery: A Scientist’s Guide to Statistical Analysis
This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the fascinating field of statistics, a branch of mathematics that enhances our understanding of the world around us. Designed to provide enough material for a short introductory course, Statistics for Scientists…
Book Details
ISBN-13: | 9783031781469 |
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ISBN-10: | 3031781465 |
Author: | Umberto Michelucci |
Publisher: | Springer International Publishing AG |
Imprint: | Springer International Publishing AG |
Format: | Hardcover |
Number of Pages: | 167 |
Release Date: | 19 July 2025 |
Weight: | 450g |
Dimensions: | 235mm x 155mm |
About The Author
Umberto Michelucci
Umberto Michelucci is an Award-winning artificial intelligence researcher, lecturer, advisor, and mentor with 20 years of experience in solving complex problems with innovative and advanced technologies. As lecturer I help universities and research groups to learn and use machine learning techniques in their research projects and publications. He is responsible for artificial intelligence in large European funded projects with large international consortia. He brings his passion and experience as long-distance runner into research and helping companies into generate value from artificial intelligence by knowing how to plan and use the right techniques to get to the finish line of a “long distance” project. He believes that artificial intelligence will make our society better, and he is willing to do everything in his power to make this possible. He has a PhD in machine learning and physics, and is the founder of TOELT, a company focused on research in AI and of the AI Center of Excellence at Helsana Versicherung AG in Switzerland. He is also a Google Developer Expert in Machine learning based in Switzerland.
He published three books with Apress on Deep Learning and TensorFlow, and a textbook on mathematical methods for Machine Learning with Springer.
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