Explainable AI for Practitioners

Designing and Implementing Explainable ML Solutions

Explainable AI for Practitioners
Michael Munn, David Pitman
RRP:
NZ$ 142.99
Our Price:
NZ$ 121.54
Paperback
h233 x 178mm - 250pg
30 Nov 2022 US
International import eta 7-19 days
9781098119133
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Most intermediate-level machine learning books usually focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance and the need to be able to explain why and how your ML model makes the predictions that it does. This practical guide brings together the best-in-class techniques for model interpretability and explains model predictions in a hands-on approach. Experienced ML practitioners will be able to more easily apply these tools in their daily workflow.
Michael Munn is an ML Solutions Engineer at Google where he works with customers of Google Cloud on helping them design, implement, and deploy machine learning models. He also teaches an ML Immersion Program at the Advanced Solutions Lab. Michael has a PhD in mathematics from the City University of New York. Before joining Google, he worked as a research professor. David Pitman is a Senior Engineering Manager working in Google Cloud on the AI Platform, where he leads the Explainable AI team. He is also a co-organizer of PuPPy, the largest Python group in the Pacific Northwest. David has a M. Eng. and BS in Computer Science, focusing in AI and Human-Computer Interaction, from MIT, where he was previously a research scientist.

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