Machine learning design patterns

Rubriek: Textual/Printed/Reference Materials - Boek

Prijs: € 38.99

Rating: 0/5

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Uiterlijk 4 oktober in huis

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

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Designing Machine Learning Systems

Rating: 0 / 5 | Prijs: € 37.99

Machine learning systems are both complex and unique complex because they consist of many different components and involve many different stakeholders unique because they re data dependent with data varying wildly from one use case to the next in this book you ll learn a holistic approach to de Op voorraad. Voor 23:59 uur besteld, dinsdag in huis .. MEER INFO

Practical MLOps

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Getting your models into production is the fundamental challenge of machine learning mlops offers a set of proven principles aimed at solving this problem in a reliable and automated way this insightful guide takes you through what mlops is and how it differs from devops and shows you how to put Uiterlijk 4 oktober in huis .. MEER INFO

Building Machine Learning Pipelines

Rating: 0 / 5 | Prijs: € 47.95

Companies are spending billions on machine learning projects but it s money wasted if the models can t be deployed effectively in this practical guide hannes hapke and catherine nelson walk you through the steps of automating a machine learning pipeline using the tensorflow ecosystem you ll l Uiterlijk 4 oktober in huis .. MEER INFO

Taal: en

Bindwijze: Paperback

Oorspronkelijke releasedatum: 31 oktober 2020

Aantal pagina's: 400

Illustraties: Nee

Hoofdauteur: Valliappa Lakshmanan

Tweede Auteur: Sara Robinson

Co Auteur: Michael Munn

Hoofduitgeverij: O'Reilly Media

Extra groot lettertype: Nee

Studieboek: Ja

Verpakking breedte: 176 mm

Verpakking hoogte: 23 mm

Verpakking lengte: 234 mm

Verpakkingsgewicht: 788 g

EAN: 9781098115784

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