Google Cloud Platform for Data Science - A Crash Course on Big Data, Machine Learning, and Data Analytics Services (1st ed.)

Data science and machine learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. Google Cloud Platform (GCP) offers a range of data science services that can be used to store, process, and analyze large datasets, as well as train and deploy machine learning models. This book provides a comprehensive guide to learning GCP for data science, using only the free tier services offered by the platform. The book is organized into seven chapters covering various topics such as GCP account setup, Google Colaboratory, Big Data and Machine Learning, Data Visualization and Business Intelligence, Data Processing and Transformation, Data Analytics and Storage, and Advanced Topics. Each chapter provides step-by-step instructions and examples that illustrate how to use GCP services for data science and big data projects. Readers will learn how to set up a Google Colaboratory account and run Jupyter notebooks, access GCP services, and data from Colaboratory, use BigQuery for data analytics, and deploy machine learning models using Vertex AI. The book also covers how to visualize data using Looker Data Studio, run data processing pipelines using Google Cloud Dataflow and Dataprep, and store data using Google Cloud Storage and SQL. What you Will Learn How to set up a GCP account and project BigQuery and its use cases, including machine learning Google Cloud AI Platform and its capabilities How to use Vertex AI for training and deploying machine learning models Google Cloud Dataproc and its use cases for big data processing How to create and share data visualizations and reports with Looker Data Studio Google Cloud Dataflow and its use cases for batch and stream data processing Running data processing pipelines on Cloud Dataflow Google Cloud Storage and its use cases for data storage An introduction to Google Cloud SQL and its use cases for relational databases An introduction to Google Cloud Pub/Sub and its use cases for real-time data streaming Who This Book Is for: A practical guide designed for data scientists, machine learning engineers, and analysts who want to learn how to use Google Cloud Platform (GCP) for their data science and big data projects.

General

Imprint:	Apress
Country of origin:	United States
Release date:	November 2023
First published:	2023
Authors:	Shitalkumar R. Sukhdeve • Sandika Sukhdeve
Dimensions:	235 x 155mm (L x W)
Edition:	1st ed.
ISBN-13:	978-1-4842-9687-5
Categories:	Books
LSN:	1-4842-9687-7
Barcode:	9781484296875

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