¡Envío GRATIS por compras de S/89 o más!  Ver más

menú

0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional
portada Google Cloud Platform for Data Science: A Crash Course on big Data, Machine Learning, and Data Analytics Services (en Inglés)
Formato
Libro Físico
Editorial
Idioma
Inglés
N° páginas
238
Encuadernación
Tapa Blanda
ISBN13
9781484296875
N° edición
1

Google Cloud Platform for Data Science: A Crash Course on big Data, Machine Learning, and Data Analytics Services (en Inglés)

Sukhdeve Dr. Shitalkumar R." "Sukhdeve Sandika S." (Autor) · Apress · Tapa Blanda

Google Cloud Platform for Data Science: A Crash Course on big Data, Machine Learning, and Data Analytics Services (en Inglés) - Sukhdeve Dr. Shitalkumar R." "Sukhdeve Sandika S."

Libro Físico

S/ 208,03

S/ 346,72

Ahorras: S/ 138,69

40% descuento
  • Estado: Nuevo
Origen: Estados Unidos (Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el Viernes 19 de Julio y el Martes 30 de Julio.
Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "Google Cloud Platform for Data Science: A Crash Course on big Data, Machine Learning, and Data Analytics Services (en Inglés)"

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 LearnSet up a GCP account and projectExplore BigQuery and its use cases, including machine learningUnderstand Google Cloud AI Platform and its capabilities Use Vertex AI for training and deploying machine learning modelsExplore Google Cloud Dataproc and its use cases for big data processingCreate and share data visualizations and reports with Looker Data StudioExplore Google Cloud Dataflow and its use cases for batch and stream data processing Run data processing pipelines on Cloud DataflowExplore 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 streamingWho This Book Is ForData 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

Opiniones del libro

Ver más opiniones de clientes
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Preguntas frecuentes sobre el libro

Todos los libros de nuestro catálogo son Originales.
El libro está escrito en Inglés.
La encuadernación de esta edición es Tapa Blanda.

Preguntas y respuestas sobre el libro

¿Tienes una pregunta sobre el libro? Inicia sesión para poder agregar tu propia pregunta.

Opiniones sobre Buscalibre

Ver más opiniones de clientes