The Emerging Science of Machine Learning Benchmarks
$76.00
- Hardcover
376 pages
- Release Date
6 October 2026
Summary
The first comprehensive introduction to benchmarking, the engine behind progress in AI
In machine learning, researchers split their data into training and test sets, let model builders compete on the test set, and call it a benchmark. Statistical tradition prescribed locking test sets in a vault, but machine learning practitioners shared them freely. Benchmarking shouldn’t have worked, but it did, and the machine learning community never figured out the science behind it. How did benc…
Book Details
| ISBN-13: | 9780691284293 |
|---|---|
| ISBN-10: | 0691284296 |
| Author: | Moritz Hardt |
| Publisher: | Princeton University Press |
| Imprint: | Princeton University Press |
| Format: | Hardcover |
| Number of Pages: | 376 |
| Release Date: | 6 October 2026 |
| Dimensions: | 254mm x 178mm |
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About The Author
Moritz Hardt
Moritz Hardt is director at the Max Planck Institute for Intelligent Systems and an honorary professor at the University of Tbingen. He is the coauthor of Patterns, Predictions, and Actions: Foundations of Machine Learning (Princeton) and Fairness and Machine Learning: Limitations and Opportunities.
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