Isbn: 9781098118952 - data science on the google cloud platform: implementing end-to-end real-time data pipelines: from ingest to machine learning (14 Ergebnisse)

Paperback. Zustand: Good. 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.…

Paperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. 2022. 2nd ed. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New.

Paperback. Zustand: Brand New. 2nd edition. 450 pages. 9.19x7.00x0.93 inches. In Stock.

Zustand: NEW.

Taschenbuch. Zustand: Neu. Neuware - 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. You'll learn how to: - Employ best practices in building highly scalable data and ML pipelines on Google Cloud - Automate and schedule data ingest using Cloud Run - Create and populate a dashboard in Data Studio - Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery - Conduct interactive data exploration with BigQuery - Create a Bayesian model with Spark on Cloud Dataproc - Forecast time series and do anomaly detection with BigQuery ML - Aggregate within time windows with Dataflow - Train explainable machine learning models with Vertex AI - Operationalize ML with Vertex AI Pipelines.…

Zustand: New. &Uumlber den AutorValliappa (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 .

Zustand: Gut. Zustand: Gut | Seiten: 459 | Sprache: Englisch | Produktart: Bücher | 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. You'll learn how to: - Employ best practices in building highly scalable data and ML pipelines on Google Cloud - Automate and schedule data ingest using Cloud Run - Create and populate a dashboard in Data Studio - Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery - Conduct interactive data exploration with BigQuery - Create a Bayesian model with Spark on Cloud Dataproc - Forecast time series and do anomaly detection with BigQuery ML - Aggregate within time windows with Dataflow - Train explainable machine learning models with Vertex AI - Operationalize ML with Vertex AI Pipelines.…

Taschenbuch. Zustand: Neu. Data Science on the Google Cloud Platform | Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning | Valliappa Lakshmanan | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | O'Reilly Media | EAN 9781098118952 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…