Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning Lakshmanan Valliappa
Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning Lakshmanan Valliappa Learn how easy it is to apply sophisticated…
Specifikacia Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning Lakshmanan Valliappa
Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning Lakshmanan Valliappa
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). Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science.You'll learn how to: - Employ best practices in building highly scalable data and ML pipelines on Google CloudAutomate and schedule data ingest using Cloud This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP.Through the course of this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches.