DataTalks.Club

Machine Learning Design Patterns

by Valliappa Lakshmanan, Sara Robinson, Michael Munn

The book of the week from 08 Feb 2021 to 12 Feb 2021

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.

To take part in the book of the week event:

  • Register in our Slack
  • Join the #book-of-the-week channel
  • Ask as many questions as you'd like
  • The book authors answer questions from Monday till Thursday
  • On Friday, the authors decide who wins free copies of their book

To see other books, check the the book of the week page.

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