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Analyzing Text on AWS with Amazon Comprehend

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Mark Nunnikhoven

2:08:07

11 View
  • 01-Course Overview.mp4
    01:16
  • 02-Introduction.mp4
    01:03
  • 03-What Is Amazon Comprehend.mp4
    05:16
  • 04-Demo - The Amazon Comprehend Management Console.mp4
    06:39
  • 05-Natural Language Processing Basics.mp4
    05:44
  • 06-Confidence Scores.mp4
    04:15
  • 07-Review.mp4
    00:47
  • 08-Introduction.mp4
    00:43
  • 09-What Language Is This.mp4
    04:22
  • 10-Demo - Language Detection.mp4
    03:22
  • 11-Sentiment Analysis.mp4
    04:50
  • 12-Demo - Sentiment Analysis.mp4
    07:26
  • 13-Deconstructing Syntax.mp4
    03:42
  • 14-Demo - Syntax Detection.mp4
    05:23
  • 15-Review.mp4
    01:11
  • 16-Introduction.mp4
    00:57
  • 17-Asynchronous Api Calls with Jobs.mp4
    03:54
  • 18-Demo - Setting up for Asynchronous Api Calls with Jobs.mp4
    09:58
  • 19-Detecting Entities.mp4
    03:37
  • 20-Demo - Entity Detection.mp4
    14:19
  • 21-Custom Entities.mp4
    02:13
  • 22-Demo - Custom Entity Detection.mp4
    08:10
  • 23-Detecting Key Phrases.mp4
    02:34
  • 24-Demo - Key Phrases Detection.mp4
    05:13
  • 25-Review.mp4
    00:55
  • 26-Introduction.mp4
    00:43
  • 27-Topic Modelling.mp4
    05:01
  • 28-Demo - Topic Modelling.mp4
    06:52
  • 29-Review.mp4
    00:47
  • 30-Introduction.mp4
    00:42
  • 31-The Security and Privacy Risks of Analysis.mp4
    04:20
  • 32-Review.mp4
    01:53
  • Description


    Understanding what text means usually requires a human to read and think about the text. This course shows you how to use Amazon Comprehend's machine learning based models to programmatically draw insights and understanding from almost any text.

    What You'll Learn?


      At the core of text analysis in the AWS Cloud is a thorough knowledge of Amazon Comprehend. In this course, Analyzing Text on AWS with Amazon Comprehend, you’ll learn how to use the service to extract insights and deep analysis about a given text. First, you’ll discover how the service is structured and common usage patterns for all of its features. Next, you’ll explore more advanced analysis concepts using an asynchronous request pattern. Finally, you’ll see how easy it can be to conduct complex topic modeling analysis. When you’re finished with this course, you’ll have a foundational knowledge of how to use Amazon Comprehend to analyze and understand any document set that will help you as you move forward and understand how to apply machine learning to real world problems.

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    Mark Nunnikhoven
    Mark Nunnikhoven
    Instructor's Courses
    Mark Nunnikhoven explores the impact of technology on individuals, organizations, and communities through the lens of privacy and security. Asking the question, ""How can we better protect our information?"", Mark studies the world of cybercrime to better understand the risks and threats to our digital world. As a researcher and educator, he applies this approach by helping organizations around the world use technology transform their work. This provides a unique opportunity to improve their approach to security and privacy while simplifying operations and focusing on their core goals. Mark is a forensic scientist and security leader who has spent more than 20 years helping to defend private and public systems from cybercriminals, hackers, and nation states. A sought after speaker, writer, and technology pundit, his message is simple: secure and private systems are a requirements in today's world, not a luxury. You can find Mark online @marknca and https://markn.ca.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 32
    • duration 2:08:07
    • level average
    • Release Date 2023/12/05