Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

Author: Michael Munn

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9789385889219
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    The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-and-proven methods to help engineers tackle problems that frequently crop up during the ML process. These design patterns codify the experience of hundreds of experts into advice you can easily follow. 

    The authors, three Google Cloud engineers, describe 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 most appropriate remedy 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

     

    About the Authors

    Valliappa (Lak) Lakshmanan is Global Head for Data Analytics and Al Solutions on Google Cloud. His team builds software solutions for business problems using Google Cloud’s data analytics and machine learning products. He founded Google’s Advanced Solutions Lab ML Immersion program. Before Google, Lak was a Director of Data Science at Climate Corporation and a Research Scientist at NOAA.

    Sara Robinson is a Developer Advocate on Google’s Cloud Platform team, focusing on machine learning. She inspires developers and data scientists to integrate ML into their applications through demos, online content, and events. Sara has a bachelor’s degree from Brandeis University. Before Google, she was a Developer Advocate on the Firebase team.

    Michael Munn is an ML Solutions Engineer at Google where he works with customers of Google Cloud on helping them design, implement, and deploy machine learning models. He also teaches an ML Immersion Program at the Advanced Solutions Lab. Michael has a PhD in mathematics from the City University of New York. Before joining Google, he worked as a research professor.

    Books
    Author
    Michael Munn
    Author
    Valliappa Lakshmanan
    Author 2
    Sara Robinson
    Binding
    Paperback
    Condition Type
    New
    Country Origin
    India
    Edition
    First
    Gift Wrap
    N
    Lead time to ship in days (if not in stock)
    ships in 12-15 days
    Leadtime to ship in days (default)
    ships in 1-2 days
    Pages
    400
    Publication Date
    29/10/2020
    Publisher
    Shroff/O'Reilly
    Year
    2020
    Dimensions
    Dimensions (W x H x D)
    7 x 9 x 0.8 inches

    Table of Contents (9789385889219_toc.pdf, 59 Kb) [Download]

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