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Targeting professionals across various data-focused roles, this guide enhances understanding of the modern data science stack. It provides insights into creating machine learning pipelines and deploying them effectively in production applications, making it a valuable resource for data analysts, engineers, and developers looking to expand their skills in machine learning and application development.
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Data Science on AWS, Chris Fregly, Antje Barth
- Langue
- Année de publication
- 2021
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- Titre
- Data Science on AWS
- Sous-titre
- Implementing End-to-End, Continuous AI and Machine Learning Pipelines
- Langue
- Anglais
- Auteurs
- Chris Fregly, Antje Barth
- Éditeur
- O'Reilly Media
- Publié
- 2021
- Format
- souple
- Pages
- 524
- ISBN13
- 9781492079392
- Séries
- Mots clés
- Technologie, Intelligence Artificielle
- Évaluation
- 3,75 sur 5
- Description
- Targeting professionals across various data-focused roles, this guide enhances understanding of the modern data science stack. It provides insights into creating machine learning pipelines and deploying them effectively in production applications, making it a valuable resource for data analysts, engineers, and developers looking to expand their skills in machine learning and application development.