Practical explainable AI using Python : artificial intelligence model explanations using Python-based libraries, extensions, and frameworks /
Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as...
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| Format: | Software eBook |
| Language: | English |
| Published: |
New York, New York :
Apress,
[2021]
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| Online Access: | Connect to the full text of this electronic book |
Internet
Connect to the full text of this electronic bookAvailable Online
| Call Number: |
QA76.73.P98 .M574 2021 |
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| Call Number | Status | Get It |
| QA76.73.P98 .M574 2021 | Available | |