Machine learning design patterns : solutions to common challenges in data preparation, model building, and MLOps
(Book)

Book Cover
Average Rating
Author
Lakshmanan, Valliappa,
Contributors
Robinson, Sara, author
Munn, Michael, author
Published
Sebastopol, CA : O'Reilly Media, 2020.
Format
Book
Edition
First edition.
ISBN
9781098115784, 1098115783
Physical Desc
xiv, 390 pages : illustrations ; 23 cm
Status
On Shelf
Morris County Library - Adult Nonfiction
006.31 LAK
1 available
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Subjects

LC Subjects
Big data.
Machine learning.
OCLC Fast Subjects
Big data.
Machine learning.

More Details

Published
Sebastopol, CA : O'Reilly Media, 2020.
Edition
First edition.
Language
English
ISBN
9781098115784, 1098115783

Notes

General Note
Includes index.
Description
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation.

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Citations

APA Citation, 7th Edition (style guide)

Lakshmanan, V., Robinson, S., & Munn, M. (2020). Machine learning design patterns: solutions to common challenges in data preparation, model building, and MLOps (First edition.). O'Reilly Media.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Lakshmanan, Valliappa, Sara, Robinson and Michael, Munn. 2020. Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. O'Reilly Media.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Lakshmanan, Valliappa, Sara, Robinson and Michael, Munn. Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps O'Reilly Media, 2020.

MLA Citation, 9th Edition (style guide)

Lakshmanan, Valliappa,, Sara Robinson, and Michael Munn. Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps First edition., O'Reilly Media, 2020.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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