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Data Science on the Google Cloud Platform – eBook

SKU: data-science-on-the-google-cloud-platform-ebook

Original price was: $52.00.Current price is: $7.00.

eBook details

  • Author: Valliappa Lakshmanan
  • File Size: 13 MB
  • Format: ePub (converted PDF also available)
  • Length: 412 pages
  • Publisher: O’Reilly Media; 1st edition
  • Publication Date: December 12, 2017
  • Language: English
  • ASIN: B0787L7RK3
  • ISBN-10: 1491974567
  • ISBN-13: 9781491974568
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Description

**Unlock the Power of Data Science on the Google Cloud Platform with this Comprehensive Guide**

Dive into the world of data science using the ePub ebook, **Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning**. This essential resource simplifies the process of applying advanced statistical analyses and machine learning techniques to real-world challenges by leveraging the capabilities of the Google Cloud Platform (GCP).

Designed as a practical, hands-on manual, this ebook is an invaluable tool for developers eager to embark on their data science journey. You will learn to construct a full-scale data pipeline from initial data ingestion to machine learning deployment, using various robust statistical and machine learning methodologies available on GCP. Each chapter guides you through a realistic business scenario, empowering you to apply diverse data science strategies effectively.

Gain practical insights while implementing machine learning and statistical approaches in your projects on GCP, and experience first-hand how this innovative platform fosters a collaborative and efficient approach to data science.

**Key Learning Outcomes:**

  • Master the art of creating a Bayesian model on a Cloud Dataproc cluster
  • Enhance your reporting skills by creating and populating dashboards in Google Data Studio
  • Explore and analyze data interactively with Google BigQuery
  • Build a high-performing predictive model utilizing TensorFlow’s capabilities
  • Develop a logistic regression machine-learning model through Spark
  • Generate time-aggregate features by constructing a Cloud Dataflow pipeline
  • Create a real-time analytics pipeline for effective streaming analytics
  • Automate data ingestion and scheduling with an App Engine application
  • Transform your deployed model into a microservice, accessible from both batch and real-time pipelines

Whether you’re a seasoned developer or a newcomer to data science, this ebook offers a clear pathway to mastering data processing and machine learning on the Google Cloud Platform, setting you on the right track towards data-driven decision-making.

**ISBN**: 978-1491912757, **ISBN**: 978-1491921902

Get ready to take your data science skills to the next level and harness the full potential of Google Cloud’s powerful tools!

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