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Alumni Book: Michael Munn

Valliappa Lakshamanan, Sara Robinson, Michael Munn
Machine Learning Design Patterns
(O'Reily Media, Inc., 2020)

image of book: Machine Learning Design PatternsThe 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.

Munn recieved his Ph.D. in Mathematics in 2008 from The Graduate Center and is currently a machine learning solutions engineer at Google.

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Submitted on: JAN 26, 2021

Category: Alumni News | Mathematics