Data Science on the Google Cloud Platform - Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

"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.

Info autore

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.

Dettagli sul prodotto

• Autori: Valliappa Lakshmana, Lakshmanan Valliappa
• Editore: O'Reilly
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 30.04.2022
• EAN: 9781098118952
• ISBN: 978-1-09-811895-2
• Dimensioni: 177 mm x 232 mm x 29 mm
• Peso: 798 g
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo; 3D graphics & modelling, COMPUTERS / Data Science / Data Visualization, COMPUTERS / Design, Graphics & Media / Graphics Tools, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis, 3D graphics and modelling