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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

12. Productionizing Your AI Applications

Activity 12.01: Predicting the Class of a Passenger on the Titanic

Solution

  1. Create the Activity12.01 directory in the Chapter12 directory to store the files for this activity. Make sure that the Datasets directory contains the Titanic dataset subdirectory with two files in it: train.csv and test.csv.
  2. Start Jupyter Notebook and create a new Python 3 notebook in the Activity12.01 directory. Give the notebook the name development.
  3. Let's start by installing the pandas and sklearn Python libraries for model building. Enter the following code in the first cell:
    !pip install pandas
    !pip install sklearn

    It should give the following output:

    Figure 12.42: Installing pandas and sklearn

    It will download the libraries and install them within your active Anaconda environment. There is a good chance that both frameworks are already available in your system, as part of Anaconda or from previous installations. If they are already installed...

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