Online Read Ebook Machine Learning Design

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. Valliappa Lakshmanan, Sara Robinson, Michael Munn

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


Machine-Learning-Design.pdf
ISBN: 9781098115784 | 400 pages | 10 Mb
Download PDF
  • Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
  • Valliappa Lakshmanan, Sara Robinson, Michael Munn
  • Page: 400
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9781098115784
  • Publisher: O'Reilly Media, Incorporated
Download Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

Free german audiobook download Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps FB2

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 Interpret model predictions for stakeholders and ensure that models are treating users fairly

Michael Munn - Enterprise Applications - Amazon.com
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. by Valliappa Lakshmanan , Sara  ONLINE EROFLUEDEN// Machine Learning - SlideShare
ONLINE EROFLUEDEN// Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. Valliappa Lakshmanan - Machine Learning Design Patterns
Solutions to Common Challenges in Data Preparation, Model Building, and MLOps, Paperback - The design patterns in this book capture best practices and  visenger/awesome-mlops: A curated list of references - GitHub
An awesome list of references for MLOps - Machine Learning Operations MLOps: Data Engineering (DataOps), MLOps: Model Deployment and Serving common problems observed in industry on developing machine learning pipelines. an overview of the key engineering challenges surrounding ML solutions and an  Machine Learning Design Patterns by Google AI | Meetup
book “Machine Learning Design Patterns”, covering solutions to common challenges in Data Preparation, Model Building, and MLOps. Amazon.co.uk:Customer reviews: Machine Learning Design
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. byValliappa Lakshmanan. Machine Learning Design Patterns by Valliappa Lakshmanan
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (Paperback). Valliappa  machine learning design patterns lakshmanan
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps by Valliappa Lakshmanan English  Machine Learning Design Patterns, online, 26 January 2021
Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. Design patterns capture best practices and solutions to  Machine Learning Design Patterns by Google AI | Meetup
book “Machine Learning Design Patterns”, covering solutions to common challenges in Data Preparation, Model Building, and MLOps. Machine Learning Design Patterns by Google AI | Meetup
book “Machine Learning Design Patterns”, covering solutions to common challenges in Data Preparation, Model Building, and MLOps. Lakshmanan Valliappa, Robinson Sara, Munn Michael
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps [Code Files].

Pdf downloads:
DOWNLOADS Drug Use for Grown-Ups: Chasing Liberty in the Land of Fear
[download pdf] Trois femmes puissantes
[Kindle] Le garçon qui volait des avions download
{pdf download} His Favorites: A Novel

0コメント

  • 1000 / 1000