Machine Learning Design Patterns : solutions to common challenges in data preparation, model building, and MLOps
Material type:
TextPublication details: Mumbai Shroff Pub 2021Description: xiv,390pISBN: 9789385889219Subject(s): Machine Learning | Artificial Intelligence | MLOpsDDC classification: 006.31 Summary: he 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.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
BK
|
Kannur University Central Library Stack | Stack | 006.31 VAL/M (Browse shelf (Opens below)) | Available | 68226 |
he 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.
There are no comments on this title.