Machine Learning Design Patterns Book [PDF] Download

Download the fantastic book titled Machine Learning Design Patterns written by Valliappa Lakshmanan, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning Design Patterns", which was released on 15 October 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Machine Learning Design Patterns by Valliappa Lakshmanan PDF

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


Detail About Machine Learning Design Patterns PDF

  • Author : Valliappa Lakshmanan
  • Publisher : O'Reilly Media
  • Genre : Computers
  • Total Pages : 408 pages
  • ISBN : 1098115759
  • PDF File Size : 19,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Machine Learning Design Patterns

Machine Learning Design Patterns
  • Publisher : O'Reilly Media
  • File Size : 28,6 Mb
  • Release Date : 15 October 2020
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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

Machine Learning Design Patterns

Machine Learning Design Patterns
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 37,8 Mb
  • Release Date : 15 October 2020
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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

Machine Learning Design Patterns

Machine Learning Design Patterns
  • Publisher : Unknown Publisher
  • File Size : 44,8 Mb
  • Release Date : 17 June 2024
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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

Deep Learning Patterns and Practices

Deep Learning Patterns and Practices
  • Publisher : Simon and Schuster
  • File Size : 53,9 Mb
  • Release Date : 12 October 2021
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Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning

Distributed Machine Learning Patterns

Distributed Machine Learning Patterns
  • Publisher : Simon and Schuster
  • File Size : 42,7 Mb
  • Release Date : 30 January 2024
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Practical patterns for scaling machine learning from your laptop to a distributed cluster. Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of

Design Patterns

Design Patterns
  • Publisher : Pearson Deutschland GmbH
  • File Size : 21,6 Mb
  • Release Date : 17 June 1995
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Software -- Software Engineering.

Introducing MLOps

Introducing MLOps
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 34,9 Mb
  • Release Date : 30 November 2020
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More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical,

Django Design Patterns and Best Practices

Django Design Patterns and Best Practices
  • Publisher : Packt Publishing Ltd
  • File Size : 29,9 Mb
  • Release Date : 31 May 2018
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Learning to build more maintainable websites with Django either takes a lot of experience or familiarity with various pragmatic design patterns. This book will accelerate your journey into the world

Learning Python Design Patterns

Learning Python Design Patterns
  • Publisher : Packt Publishing Ltd
  • File Size : 37,8 Mb
  • Release Date : 15 February 2016
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Leverage the power of Python design patterns to solve real-world problems in software architecture and design About This Book Understand the structural, creational, and behavioral Python design patterns Get to

Holub on Patterns

Holub on Patterns
  • Publisher : Apress
  • File Size : 45,6 Mb
  • Release Date : 27 September 2004
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* Allen Holub is a highly regarded instructor for the University of California, Berkeley, Extension. He has taught since 1982 on various topics, including Object-Oriented Analysis and Design, Java, C++, C. Holub