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Beschreibung
Explainability methods provide an essential toolkit for better understanding model behavior, and this practical guide brings together best-in-class techniques for model explainability.
Explainability methods provide an essential toolkit for better understanding model behavior, and this practical guide brings together best-in-class techniques for model explainability.
Über den Autor
Michael Munn is a research software engineer at Google. His work focuses on better understanding the mathematical foundations of machine learning and how those insights can be used to improve machine learning models at Google. Previously, he worked in the Google Cloud Advanced Solutions Lab helping customers design, implement, and deploy machine learning models at scale. Michael has a PhD in mathematics from the City University of New York. Before joining Google, he worked as a research professor.
Details
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781098119133 |
| ISBN-10: | 1098119134 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Pitman, David
Munn, Michael |
| Hersteller: | O'Reilly Media |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 232 x 178 x 17 mm |
| Von/Mit: | David Pitman (u. a.) |
| Erscheinungsdatum: | 11.11.2022 |
| Gewicht: | 0,484 kg |
Über den Autor
Michael Munn is a research software engineer at Google. His work focuses on better understanding the mathematical foundations of machine learning and how those insights can be used to improve machine learning models at Google. Previously, he worked in the Google Cloud Advanced Solutions Lab helping customers design, implement, and deploy machine learning models at scale. Michael has a PhD in mathematics from the City University of New York. Before joining Google, he worked as a research professor.
Details
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781098119133 |
| ISBN-10: | 1098119134 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Pitman, David
Munn, Michael |
| Hersteller: | O'Reilly Media |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 232 x 178 x 17 mm |
| Von/Mit: | David Pitman (u. a.) |
| Erscheinungsdatum: | 11.11.2022 |
| Gewicht: | 0,484 kg |
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