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.
General
| Imprint: |
O'Reilly Media
|
| Country of origin: |
United States |
| Release date: |
November 2022 |
| Authors: |
Michael Munn
• David Pitman
|
| Dimensions: |
233 x 178 x 20mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
250 |
| ISBN-13: |
978-1-09-811913-3 |
| Categories: |
Books
Promotions
|
| LSN: |
1-09-811913-4 |
| Barcode: |
9781098119133 |
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