بِسْمِ اللَّهِ الرَّحْمَنِ الرَّحِيمِ

دانلود کتاب علم داده در پلتفرم گوگل کلود: پیاده‌سازی خطوط انتقال داده‌های بی‌درنگ از پایان به انتها: از ورود به یادگیری ماشینی

Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning, Valliappa Lakshmanan, 1098118952, 9781098118952, 978-1098118952

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English | 2022 | PDF | زمان تحویل: بین 1 تا 8 ساعت

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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