Effective Data Science Infrastructure - Tuulos, Ville
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Simplify data science infrastructure to give data scientists an efficient path from prototype to production. In Effective Data Science Infrastructure you will learn how to: * Design data science infrastructure that boosts productivity * Handle compute and orchestration in the cloud * Deploy machine learning to production * Monitor and manage performance and results * Combine cloud-based tools into a cohesive data science environment * Develop reproducible data science projects using Metaflow, Conda, and Docker * Architect complex applications for multiple teams and large datasets * Customize…mehr

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Produktbeschreibung
Simplify data science infrastructure to give data scientists an efficient path from prototype to production. In Effective Data Science Infrastructure you will learn how to: * Design data science infrastructure that boosts productivity * Handle compute and orchestration in the cloud * Deploy machine learning to production * Monitor and manage performance and results * Combine cloud-based tools into a cohesive data science environment * Develop reproducible data science projects using Metaflow, Conda, and Docker * Architect complex applications for multiple teams and large datasets * Customize and grow data science infrastructure Effective Data Science Infrastructure: How to make data scientists more productive 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. In it, youGÇÖll master scalable techniques for data storage, computation, experiment tracking, and orchestration. YouGÇÖll also learn how to collaborate with data scientists to deliver exactly what they need to succeed. The author is donating proceeds from this book to charities that support women and underrepresented groups in data science.
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Autorenporträt
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.