Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
The Applied AI and Natural Language Processing Workshop

You're reading from   The Applied AI and Natural Language Processing Workshop Explore practical ways to transform your simple projects into powerful intelligent applications

Arrow left icon
Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800208742
Length 384 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (3):
Arrow left icon
Ruze Richards Ruze Richards
Author Profile Icon Ruze Richards
Ruze Richards
Krishna Sankar Krishna Sankar
Author Profile Icon Krishna Sankar
Krishna Sankar
Jeffrey Jackovich Jeffrey Jackovich
Author Profile Icon Jeffrey Jackovich
Jeffrey Jackovich
Arrow right icon
View More author details
Toc

Table of Contents (8) Chapters Close

Preface
1. An Introduction to AWS 2. Analyzing Documents and Text with Natural Language Processing FREE CHAPTER 3. Topic Modeling and Theme Extraction 4. Conversational Artificial Intelligence 5. Using Speech with the Chatbot 6. Computer Vision and Image Processing Appendix

1. An Introduction to AWS

Activity 1.01: Putting the Data into S3 with the CLI

Solution:

  1. Verify the configuration is correct by executing aws s3 ls to output your bucket name (the bucket name will be unique):

    Figure 1.46: Command line showing the list of files in an S3 bucket

    Note

    The list you will see maybe a little different from the preceding screenshot. It depends on what activities or exercises you have done; you might see a few more files in S3.

  2. Let's create a new S3 bucket. mb is the command for creating a bucket:
    aws s3 mb s3://lesson1-text-files-20200217

    Figure 1.47: Command to create an S3 bucket

    If it is successful, you will see the make_bucket : message.

    Note

    Your bucket name needs to be unique, so it is easier to append YYYYMMDD to the name (or something similar) to make it so. You will see this technique in later chapters as well. If you take a look at the earlier ls command, you will see the bucket names used — even used YYYYMMDDHHMM to ensure the...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image