Google Cloud Platform for Data Science
- Indbinding:
- Paperback
- Sideantal:
- 240
- Udgivet:
- 18. november 2023
- Udgave:
- 23001
- Størrelse:
- 155x14x235 mm.
- Vægt:
- 371 g.
- 8-11 hverdage.
- 3. december 2024
På lager
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Google Cloud Platform for Data Science
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 Jupyternotebooks, 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 Storageand 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
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 Jupyternotebooks, 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 Storageand 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
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Bogen Google Cloud Platform for Data Science findes i følgende kategorier:
- Business og læring > Computer og IT
- Databehandling og informationsteknologi > Databaser > Data mining
- Databehandling og informationsteknologi > Datakommunikation og computernetværk > Cloud computing
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens > Ekspertsystemer og vidensbaserede systemer
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens > Machine learning
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