Data Science on the Google Cloud Platform – PDF

Using the ePub ebook “Data Science on the Google Cloud Platform: Implementing End- to-End Real-Time Data Pipelines: From Ingest to Machine Learning“, discover how simple it is to use advanced analytical and artificial intelligence approaches to genuine- world issues when you construct on top of the Google Cloud Platform (GCP). This simple hands-on guide reveals designers going into the data science field how to carry out an end- to- end data pipeline, utilizing analytical and artificial intelligence approaches and tools on GCP. Through the course of the ebook, you will overcome a sample company choice by utilizing a range of data science techniques. Follow along by executing these artificial intelligence and analytical solutions in your own job on GCP, and find how this platform offers a transformative and more collective method of doing data science. You will discover how to:

• Create a Bayesian design on a Cloud Dataproc cluster
• Create and occupy a control panel in Google Data Studio
• Conduct interactive data expedition with Google BigQuery
• Create a high- carrying out forecast design with TensorFlow
• Make a logistic regression device- knowing design with Spark
• Compute time- aggregate includes with a Cloud Dataflow pipeline
• Build a genuine- time analysis pipeline to perform streaming analytics
• Automate and schedule data consume, utilizing an App Engine application
• Use your released design as a microservice you can access from both batch and genuine- time pipelines