Technoscience in History

Prussia, 1750-1850

$28.99 US
The MIT Press
On sale Sep 22, 2020 | 9780262359481
Sales rights: World

See Additional Formats
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
List of Illustrations
Acknowledgments
Introduction
Part I. Technical Experts and Innovation in Prussia
1. Technical Projects of the Royal Prussian Academy of Sciences
2. Discovery and Invention: Klaproth
3. Pharmacy and Chemistry
4. Experts at the Royal Prussian Porcelain Manufactory
5. The Figure of Technical Expert
Part II. The Model: Useful Science at Mining Academies
6. Silver Mining and the Freiberg Mining Academy
7. Mining and Mining Experts in Prussia: Gerhard
8. Experiments in the Laboratory of the Mining Department
9. The Lecture Series of the Mining Administration
10. Mines as Laboratories: Humboldt
Part III. Useful Science and its Practitioners
11. Mining Science
12. The Science of Salt Works
13. The Figure of Scientific-Technological Expert
Part IV. Towards Nineteenth-Century Technological Science
14. Useful Knowledge at the University of Berlin
15. The Academy of Civil Engineering and Architecture
16. A New Industrial Policy: The Industrial Institute
17. The Big Picture: Useful Science, Technological Science, Technoscience
Notes
References
Index
"The term 'technoscience' may feel futuristic, but Ursula Klein's fascinating study shows that the phenomenon extends back centuries. She demonstrates in detail that mining, among other key fields, involved the kind of 'useful knowledge' that spurred modern science." – Michael D. Gordin, Rosengarten Professor of Modern and Contemporary History, Princeton University

"Technoscience in History imaginatively explores the role of useful sciences in Prussia’s knowledge economy. It recasts several canonical historical narratives: of industrialization, state expertise, and even Berlin University’s founding. It adds incredible historical depth to Bruno Latour’s Science in Action." – Kathryn Olesko, Associate Professor, George Washington University

About

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

Table of Contents

List of Illustrations
Acknowledgments
Introduction
Part I. Technical Experts and Innovation in Prussia
1. Technical Projects of the Royal Prussian Academy of Sciences
2. Discovery and Invention: Klaproth
3. Pharmacy and Chemistry
4. Experts at the Royal Prussian Porcelain Manufactory
5. The Figure of Technical Expert
Part II. The Model: Useful Science at Mining Academies
6. Silver Mining and the Freiberg Mining Academy
7. Mining and Mining Experts in Prussia: Gerhard
8. Experiments in the Laboratory of the Mining Department
9. The Lecture Series of the Mining Administration
10. Mines as Laboratories: Humboldt
Part III. Useful Science and its Practitioners
11. Mining Science
12. The Science of Salt Works
13. The Figure of Scientific-Technological Expert
Part IV. Towards Nineteenth-Century Technological Science
14. Useful Knowledge at the University of Berlin
15. The Academy of Civil Engineering and Architecture
16. A New Industrial Policy: The Industrial Institute
17. The Big Picture: Useful Science, Technological Science, Technoscience
Notes
References
Index

Praise

"The term 'technoscience' may feel futuristic, but Ursula Klein's fascinating study shows that the phenomenon extends back centuries. She demonstrates in detail that mining, among other key fields, involved the kind of 'useful knowledge' that spurred modern science." – Michael D. Gordin, Rosengarten Professor of Modern and Contemporary History, Princeton University

"Technoscience in History imaginatively explores the role of useful sciences in Prussia’s knowledge economy. It recasts several canonical historical narratives: of industrialization, state expertise, and even Berlin University’s founding. It adds incredible historical depth to Bruno Latour’s Science in Action." – Kathryn Olesko, Associate Professor, George Washington University