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Machine Learning with TensorFlow 1.x

You're reading from   Machine Learning with TensorFlow 1.x Second generation machine learning with Google's brainchild - TensorFlow 1.x

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781786462961
Length 304 pages
Edition 1st Edition
Languages
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Authors (3):
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Saif Ahmed Saif Ahmed
Author Profile Icon Saif Ahmed
Saif Ahmed
Quan Hua Quan Hua
Author Profile Icon Quan Hua
Quan Hua
Shams Ul Azeem Shams Ul Azeem
Author Profile Icon Shams Ul Azeem
Shams Ul Azeem
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with TensorFlow FREE CHAPTER 2. Your First Classifier 3. The TensorFlow Toolbox 4. Cats and Dogs 5. Sequence to Sequence Models-Parlez-vous Français? 6. Finding Meaning 7. Making Money with Machine Learning 8. The Doctor Will See You Now 9. Cruise Control - Automation 10. Go Live and Go Big 11. Going Further - 21 Problems 12. Advanced Installation

Making Money with Machine Learning

So far, we've used TensorFlow mostly for image processing, and, to a lesser extent, for text sequence processing. In this chapter, we will tackle a specific type of tabular data: time-series, data.

The time series data comes from many domains with usually one commonality—the only field changing constantly is a time or sequence field. It is common in a variety of fields, but especially common in economics, finance, health, medicine, environmental engineering, and control engineering. We'll dive into examples throughout the chapter, but the key thing to remember is that order matters. Unlike in previous chapters, where we shuffled our data freely, time series data cannot be shuffled that way without losing meaning. An added complexity can be the availability of data itself; if we have data available up until the current time with...

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