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Hands-On Machine Learning on Google Cloud Platform

You're reading from  Hands-On Machine Learning on Google Cloud Platform

Product type Book
Published in Apr 2018
Publisher Packt
ISBN-13 9781788393485
Pages 500 pages
Edition 1st Edition
Languages
Authors (3):
Giuseppe Ciaburro Giuseppe Ciaburro
Profile icon Giuseppe Ciaburro
V Kishore Ayyadevara V Kishore Ayyadevara
Profile icon V Kishore Ayyadevara
Alexis Perrier Alexis Perrier
Profile icon Alexis Perrier
View More author details

Table of Contents (18) Chapters

Preface 1. Introducing the Google Cloud Platform 2. Google Compute Engine 3. Google Cloud Storage 4. Querying Your Data with BigQuery 5. Transforming Your Data 6. Essential Machine Learning 7. Google Machine Learning APIs 8. Creating ML Applications with Firebase 9. Neural Networks with TensorFlow and Keras 10. Evaluating Results with TensorBoard 11. Optimizing the Model through Hyperparameter Tuning 12. Preventing Overfitting with Regularization 13. Beyond Feedforward Networks – CNN and RNN 14. Time Series with LSTMs 15. Reinforcement Learning 16. Generative Neural Networks 17. Chatbots

Google Cloud Dataflow

Google Cloud Dataflow is a fully managed service for creating data pipelines that transform, enrich, and analyze data in batch and streaming modes. Google Cloud Dataflow extracts useful information from data, reducing operating costs without the hassle of implementing, maintaining, or resizing the data infrastructure.

A pipeline is a set of data processing elements connected in series, in which the output of one element is the input of the next. The data pipeline is implemented to increase throughput, which is the number of instructions executed in a given amount of time, parallelizing the processing flows of multiple instructions.

By appropriately defining a process management flow, significant resources can be saved in extracting knowledge from the data. Thanks to a serverless approach to provisioning and managing resources, Dataflow offers virtually unlimited...

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