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Hands-On Machine Learning on Google Cloud Platform

You're reading from   Hands-On Machine Learning on Google Cloud Platform Implementing smart and efficient analytics using Cloud ML Engine

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788393485
Length 500 pages
Edition 1st Edition
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Authors (3):
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Alexis Perrier Alexis Perrier
Author Profile Icon Alexis Perrier
Alexis Perrier
V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (18) Chapters Close

Preface 1. Introducing the Google Cloud Platform FREE CHAPTER 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

Time Series with LSTMs

In many situations involving multiple fields of real life, the need to plan future actions arises. Forecasting is an important tool for efficient planning. Moreover, this tool makes the decision-maker less susceptible to unexpected events because it requires a more scientific approach to the knowledge of the environment in which it operates. Often, the planning of future action arises from the analysis of data accumulated over time to extract information for the characterization of the phenomenon under observation.

A chronological recording of events gives rise to a new type of act, which is precisely called a time series. A time series constitutes a sequence of observations on a phenomenon carried out in consecutive instants or time intervals. Usually, even if not necessarily, they are evenly spaced or of the same length. Time series prediction requires...

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