EAN: 9781098115784

MACHINE LEARNING DESIGN PATTERNS - VALLIAPPA LA...

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. You'll learn how to:
Identify and mitigate common challenges when training  evaluating  and deploying ML models
Represent data for different ML model types  including embeddings  feature crosses  and more
Choose the right model type for specific problems Build a robust training loop that uses
checkpoints  distribution strategy  and hyperparameter tuning Deploy scalable ML systems that
you can retrain and update to reflect new data Interpret model predictions for stakeholders and
ensure models are treating users fairly

Aktuelle Preise zur EAN 9781098115784

Produktinformationen zur 9781098115784