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    Google Cloud Platform for Data Science: A Crash Course on Big Data, Machine Learning, and Data Analytics Services

    Posted By: GFX_MAN
    Google Cloud Platform for Data Science: A Crash Course on Big Data, Machine Learning, and Data Analytics Services

    Google Cloud Platform for Data Science: A Crash Course on Big Data, Machine Learning, and Data Analytics Services
    English | 2024 | ISBN: 1484296877 | 231 pages | PDF | 7.18 MB

    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.

    What You Will Learn
    Set up a GCP account and project
    Explore BigQuery and its use cases, including machine learning
    Understand Google Cloud AI Platform and its capabilities
    Use Vertex AI for training and deploying machine learning models
    Explore Google Cloud Dataproc and its use cases for big data processing
    Create and share data visualizations and reports with Looker Data Studio
    Explore Google Cloud Dataflow and its use cases for batch and stream data processing
    Run data processing pipelines on Cloud Dataflow
    Explore Google Cloud Storage and its use cases for data storage
    Get an introduction to Google Cloud SQL and its use cases for relational databases
    Get an introduction to Google Cloud Pub/Sub and its use cases for real-time data streaming

    Who This Book Is 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