---
title: "Aruna Chakkirala og Orange Ava Interpretability and Explainability in AI Using Python"
ean: "9789348107572"
brand: "Aruna Chakkirala og Orange Ava"
category: "Medier > Bøger > Trykte bøger"
price_min: 389
price_max: 389
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9789348107572/interpretability-and-explainability-in-ai-using-python
last_checked: 2026-10-14
---

# Aruna Chakkirala og Orange Ava Interpretability and Explainability in AI Using Python

EAN 9789348107572 · Mærke: Aruna Chakkirala og Orange Ava · Kategori: Medier > Bøger > Trykte bøger

Sammenlign priser på Aruna Chakkirala og Orange Ava Interpretability and Explainability in AI Using Python fra 1 forhandler. Billigste pris nu: 389 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9789348107572/interpretability-and-explainability-in-ai-using-python

## Priser
- **Billigste pris nu:** 389 kr hos Saxo DK
- **Prisspænd:** 389 kr – 389 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 389 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Demystify AI Decisions and Master Interpretability and Explainability Today Book Description Interpretability in AI/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures that humans can follow the model's reasoning, making it easier to debug, validate, and trust. Interpretability and Explainability in AI Using Python takes you on a structured journey through interpretability and explainability techniques for both white-box and black-box models. You'll start with foundational concepts in interpretable machine learning, exploring different model types and their transparency levels. As you progress, you'll dive into post-hoc methods, feature effect analysis, anchors, and counterfactuals-powerful tools to decode complex models. The book also covers explainability in deep learning, including Neural Networks, Transformers, and Large Language Models (LLMs), equipping you with strategies to uncover decision-making patterns in AI systems. Through hands-on Python examples, you'll learn how to apply these techniques in real-world scenarios. By the end, you'll be well-versed in choosing the right interpretability methods, implementing them efficiently, and ensuring AI models align with ethical and regulatory standards-giving you a competitive edge in the evolving AI landscape. Table of Contents 1. Interpreting Interpretable Machine Learning 2. Model Types and Interpretability Techniques 3. Interpretability Taxonomy and Techniques 4. Feature Effects Analysis with Plots 5. Post-Hoc Methods 6. Anchors and Counterfactuals 7. Interpretability in Neural Networks 8. Explainable Neural Networks 9. Explainability in Transformers and Large Language Models 10. Explainability and Responsible AI Index

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Kilde: PriceTracker. Fuld side med interaktiv prishistorik og købslinks: https://pricetracker.dk/p/9789348107572/interpretability-and-explainability-in-ai-using-python
Priserne er sidst kontrolleret 2026-10-14.