Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning
$40.41
Description
Book Synopsis: Note: This is the 1st edition. There is now a Second Edition of this book available.
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 and machine learning methods and tools on GCP.
Through the course of the book, you'll work through a sample business decision by employing a variety of data science approaches.
Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science.
You'll learn how to:
- Automate and schedule data ingest, using an App Engine application
- Create and populate a dashboard in Google Data Studio
- Build a real-time analysis pipeline to carry out streaming analytics
- Conduct interactive data exploration with Google BigQuery
- Create a Bayesian model on a Cloud Dataproc cluster
- Build a logistic regression machine-learning model with Spark
- Compute time-aggregate features with a Cloud Dataflow pipeline
- Create a high-performing prediction model with TensorFlow
- Use your deployed model as a microservice you can access from both batch and real-time pipelines
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Details
Looking to take your data science skills to the next level? Look no further than the book "Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines." With easy-to-follow instructions, this 1st edition guide shows you how to apply sophisticated statistical and machine learning methods to real-world problems using the power of Google Cloud Platform (GCP).
Why spend countless hours struggling with complex data science problems when you can leverage the tools and capabilities of GCP? This hands-on guide takes you step-by-step through the process of building an end-to-end data pipeline, equipping you with the skills to automate and schedule data ingest, create interactive dashboards, and carry out real-time analysis.
Imagine being able to conduct interactive data exploration, create powerful prediction models, and even deploy your models as microservices accessible from both batch and real-time pipelines. With "Data Science on the Google Cloud Platform," you'll have all the tools and knowledge you need to elevate your data science game and make a real impact in your field.
Ready to unlock the potential of GCP for data science? Start implementing the cutting-edge statistical and machine learning solutions outlined in this book in your own projects. Discover the transformative and collaborative possibilities that GCP offers, and revolutionize the way you approach data science today.
Get your copy of "Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines" and embark on a journey towards data science success.
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