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The Artificial Intelligence Infrastructure Workshop

You're reading from   The Artificial Intelligence Infrastructure Workshop Build your own highly scalable and robust data storage systems that can support a variety of cutting-edge AI applications

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781800209848
Length 732 pages
Edition 1st Edition
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Authors (6):
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Bas Geerdink Bas Geerdink
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Bas Geerdink
Chinmay Arankalle Chinmay Arankalle
Author Profile Icon Chinmay Arankalle
Chinmay Arankalle
Kunal Gera Kunal Gera
Author Profile Icon Kunal Gera
Kunal Gera
Kevin Liao Kevin Liao
Author Profile Icon Kevin Liao
Kevin Liao
Gareth Dwyer Gareth Dwyer
Author Profile Icon Gareth Dwyer
Gareth Dwyer
Anand N.S. Anand N.S.
Author Profile Icon Anand N.S.
Anand N.S.
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Toc

Table of Contents (14) Chapters Close

Preface
1. Data Storage Fundamentals 2. Artificial Intelligence Storage Requirements FREE CHAPTER 3. Data Preparation 4. The Ethics of AI Data Storage 5. Data Stores: SQL and NoSQL Databases 6. Big Data File Formats 7. Introduction to Analytics Engine (Spark) for Big Data 8. Data System Design Examples 9. Workflow Management for AI 10. Introduction to Data Storage on Cloud Services (AWS) 11. Building an Artificial Intelligence Algorithm 12. Productionizing Your AI Applications Appendix

1. Data Storage Fundamentals

Activity 1.01: Creating a Text Classifier for Movie Reviews

Solution

  1. Create a new directory, Activity01.01, in the Chapter01 directory to store the files for this activity.
  2. Move the aclImdb folder to the Datasets directory.
  3. Open your Terminal (macOS or Linux) or Command Prompt (Windows), navigate to the Chapter01 directory, and type jupyter notebook.
  4. In the Jupyter notebook, click the Activity01.01 directory and create a new notebook file with a Python3 kernel.
  5. Import the os library and a random library, and define where our training and test data is stored using four variables, as shown in the following code:
    import os
    import random
    dataset_train_pos_path = "../Datasets/aclImdb/train/pos/"
    dataset_train_neg_path = "../Datasets/aclImdb/train/neg/"
    dataset_test_pos_path = "../Datasets/aclImdb/test/pos/"
    dataset_test_neg_path = "../Datasets/aclImdb/test/neg/"

    We have four variables: one for...

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