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Machine Learning: How to Build Robust AI Models

29.99 €
In stock
Machine Learning: How to Build Robust AI Models
29.99 €
In basket
This is a practical guide to building resilient, secure, and understandable ML systems. The authors examine key aspects of developing robust models: from identifying vulnerabilities and biases to assessing algorithm transparency, protecting against attacks, and managing debt obligations in an ML project.
The book helps you understand how modern approaches to fairness, interpretability, and security work, and shows how to apply them in real-world settings—where models face volatile environments, noisy data, and human use cases.
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