99,99 €
124,99 €
Data Science on AWS
99,99 € 
- Išsiųsime per 10–14 d.d.
If you use data to make critical business decisions, this book is for you. Whether you’re a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale.The AWS data science stack unifies data science, data engineering, and application development to help you…
99.99
2025-06-29 23:59:00
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- Autorius: Chris Fregly, Antje Barth
- Leidėjas: O'Reilly UK Ltd.
- Metai: 2021
- Puslapiai: 500
- ISBN-10: 1492079391
- ISBN-13: 9781492079392
- Formatas: 17.4 x 23.3 x 3.1 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -20 % nuolaida šiai knygai su kodu ENG20
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Aprašymas
If you use data to make critical business decisions, this book is for you. Whether you’re a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale.The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days.
EXTRA 20 % nuolaida
99,99 €
124,99 €
Išsiųsime per 10–14 d.d.
Kupono kodas: ENG20
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- Autorius: Chris Fregly, Antje Barth
- Leidėjas: O'Reilly UK Ltd.
- Metai: 2021
- Puslapiai: 500
- ISBN-10: 1492079391
- ISBN-13: 9781492079392
- Formatas: 17.4 x 23.3 x 3.1 cm, minkšti viršeliai
- Kalba: Anglų
If you use data to make critical business decisions, this book is for you. Whether you’re a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning pipelines, and deploy them to applications at production scale.
The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days.
The AWS data science stack unifies data science, data engineering, and application development to help you level up your skills beyond your current role. Authors Antje Barth and Chris Fregly show you how to build your own ML pipelines from existing APIs, submit them to the cloud, and integrate results into your application in minutes instead of days.
Atsiliepimai