Effective Data Science Infrastructure (häftad)

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Format: Häftad (Paperback)
Språk: Engelska
Antal sidor: 325
Utgivningsdatum: 2022-09-19
Upplaga: 1
Förlag: Manning Publications
Dimensioner: 234 x 188 x 20 mm
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Antal komponenter: 1
ISBN: 9781617299193

Effective Data Science Infrastructure

Name: Effective Data Science Infrastructure
Price: 387.00 SEK
Availability: InStock
Author: Ville Tuulos
ISBN: 9781617299193

av Ville Tuulos

Häftad, Engelska, 2022-09-19

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Simplify data science infrastructure to give data scientists an efficient path from prototype to production.

Effective Data Science Infrastructure is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting edge data infrastructure.

As you work through this easy-to-follow guide, you'll set up end-to-end infrastructure from the ground up, with a fully customizable process you can easily adapt to your company. You'll learn how you can make data scientists more productive with your existing cloud infrastructure, a stack of open source software, and idiomatic Python. Throughout, you'll follow a human-centric approach focused on user experience and meeting the unique needs of data scientists.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

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"Do not miss the opportunity to cover all key aspects of data science infrastructure on your next project." Jesus A. Juarez Guerrero "Useful book that provides tactical guidance on how to use Metaflow to streamline data science workflows but also includes great frameworks and abstractions to consider when defining your data science infrastructure stack." Sarah Catanzaro "This is the ultimate book to learn how to handle infrastructure in data science!" Ninoslav Cerkez "If you need a workflow management tool to glue your data code, look at metaflow. It's simple yet efficient." Mikael Dautrey

Ville Tuulos has been developing tools and infrastructure for data science and machine learning for over two decades. At Netflix, he designed and built Metaflow, a full-stack framework for data science. Currently, he is the CEO of a startup focusing on data science infrastructure.