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Apache Spark Deep Learning Cookbook

You're reading from   Apache Spark Deep Learning Cookbook Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788474221
Length 474 pages
Edition 1st Edition
Languages
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Authors (2):
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Ahmed Sherif Ahmed Sherif
Author Profile Icon Ahmed Sherif
Ahmed Sherif
Amrith Ravindra Amrith Ravindra
Author Profile Icon Amrith Ravindra
Amrith Ravindra
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Toc

Table of Contents (15) Chapters Close

Preface 1. Setting Up Spark for Deep Learning Development 2. Creating a Neural Network in Spark FREE CHAPTER 3. Pain Points of Convolutional Neural Networks 4. Pain Points of Recurrent Neural Networks 5. Predicting Fire Department Calls with Spark ML 6. Using LSTMs in Generative Networks 7. Natural Language Processing with TF-IDF 8. Real Estate Value Prediction Using XGBoost 9. Predicting Apple Stock Market Cost with LSTM 10. Face Recognition Using Deep Convolutional Networks 11. Creating and Visualizing Word Vectors Using Word2Vec 12. Creating a Movie Recommendation Engine with Keras 13. Image Classification with TensorFlow on Spark 14. Other Books You May Enjoy

Downloading the King County House sales dataset


We can't build a model without a dataset.  We will download our data in this section.

Getting ready

Kaggle (https://www.kaggle.com/) is a platform for predictive modeling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users. The King County House Sales dataset contains records of 21,613 houses sold in King County, New York between 1900 and 2015. The dataset also contains 21 different variables such as location, zip code, number of bedrooms, area of the living space, and so on, for each house.

How to do it...

  1. The dataset can be accessed from the following website: https://www.kaggle.com/harlfoxem/housesalesprediction. The dataset is from the public records of King County and is freely available to download and use in any analysis.
  2. Once you arrive at the website, you can click on the Download button, as shown in the following...

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