Data science on the Google cloud platform : implementing end-to-end real-time data pipelines: from ingest to machine learning /

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Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical a...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Lakshmanan, Valliappa (Author)
Format: Electronic eBook
Language:Inglés
Published: Sebastopol, CA : O'Reilly Media, 2018.
Edition:First edition.
Subjects:
Google (Firm)
Real-time data processing.
Cloud computing.
Computing platforms.
Temps réel (Informatique)
Infonuagique.
Plateformes (Informatique)
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Making better decisions based on data
  • Ingesting data into the cloud
  • Creating compelling dashboards
  • Streaming data: publication and ingest
  • Interactive data exploration
  • Bayes classifier on cloud dataproc
  • Machine learning: logistic regression on Spark
  • Time-windowed aggregate features
  • Machine learning classifier using TensorFlow
  • Real-time machine learning.

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