Google Cloud Platform for Data Science A Crash Course on Big Data, Machine Le...

[Farid]

| 231 |

This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform.

Data science and machine learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. GCP offers a range of data science services that can be used to store, process, and analyze large datasets, and train and deploy machine learning models.

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 illustrating 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.



✅ Contents of Download:
⭐️ Google Cloud Platform for Data Science A Crash Course on Big Data, Machine Learning, and Data Analytics Services.pdf (7.18 MB)

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✅ Google Cloud Platform for Data Science A Crash Course on Big Data, Machine Learning, and Data Analytics Services (7.18 MB)

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