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Data Science on the Google Cloud Platform
Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning
Taschenbuch von Valliappa Lakshmanan
Sprache: Englisch

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Beschreibung
"Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way"--Back cover.
"Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way"--Back cover.
Über den Autor

Valliappa (Lak) Lakshmanan is the director of analytics and AI solutions at Google Cloud, where he leads a team building cross-industry solutions to business problems. His mission is to democratize machine learning so that it can be done by anyone anywhere. Lak is the author or coauthor of Practical Machine Learning for Computer Vision, Machine Learning Design Patterns, Data Governance The Definitive Guide, Google BigQuery The Definitive Guide, and Data Science on the Google Cloud Platform.

Details
Erscheinungsjahr: 2022
Fachbereich: Anwendungs-Software
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 446
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781098118952
ISBN-10: 1098118952
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Lakshmanan, Valliappa
Hersteller: O'Reilly Media
Maße: 231 x 174 x 25 mm
Von/Mit: Valliappa Lakshmanan
Erscheinungsdatum: 30.04.2022
Gewicht: 0,802 kg
preigu-id: 120965414
Über den Autor

Valliappa (Lak) Lakshmanan is the director of analytics and AI solutions at Google Cloud, where he leads a team building cross-industry solutions to business problems. His mission is to democratize machine learning so that it can be done by anyone anywhere. Lak is the author or coauthor of Practical Machine Learning for Computer Vision, Machine Learning Design Patterns, Data Governance The Definitive Guide, Google BigQuery The Definitive Guide, and Data Science on the Google Cloud Platform.

Details
Erscheinungsjahr: 2022
Fachbereich: Anwendungs-Software
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 446
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781098118952
ISBN-10: 1098118952
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Lakshmanan, Valliappa
Hersteller: O'Reilly Media
Maße: 231 x 174 x 25 mm
Von/Mit: Valliappa Lakshmanan
Erscheinungsdatum: 30.04.2022
Gewicht: 0,802 kg
preigu-id: 120965414
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