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Beginning Machine Learning with AWS

Video Description

Explore the power of cloud services for your machine learning and artificial intelligence projects

About This Video

  • Explore popular AI and ML services with their underlying algorithms
  • Use the AWS environment to manage your AI workflow
  • Reinforce key concepts with hands-on demos using real-world datasets

In Detail

Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models.

By the end of this course, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects.

Downloading the example code for this course: You can download the example code files for all Packt video courses you have purchased from your account at http://www.PacktPub.com. If you purchased this course elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.

Table of Contents

  1. Chapter 1 :
    1. Course Overview 00:04:32
    2. Lesson Introduction 00:01:17
    3. Amazon Web Services 00:02:12
    4. Amazon S3 00:04:36
    5. Core S3 Concepts 00:06:27
    6. AWS Command Line Interface (CLI) 00:05:29
    7. Summary 00:00:32
  2. Chapter 2 : Section2: Summarizing Text Documents Using NLP
    1. Lesson Introduction 00:01:42
    2. Using Amazon Comprehend 00:01:55
    3. Amazon Comprehend Supported Languages 00:07:24
    4. Extracting Information in a Set of Documents 00:06:48
    5. Detecting Key Phrases and Sentiments 00:04:17
    6. What is Lambda Function? 00:02:46
    7. Setting up Lambda Function 00:08:49
    8. Summary 00:00:26
  3. Chapter 3 : Section3: Perform Topic Modelling and Theme Extraction
    1. Lesson Introduction 00:01:34
    2. Extracting and Analyzing Common Themes 00:01:33
    3. Topic Modeling with Latent Dirichlet Allocation (LDA) 00:03:53
    4. Topic Modeling Guidelines 00:09:44
    5. Summary 00:00:27
  4. Chapter 4 : Section4: Creating Chatbot with Natural Language
    1. Lesson Introduction 00:01:03
    2. What is a Chatbot? 00:04:51
    3. Creating a Chatbot with Natural Language 00:12:34
    4. Lambda Function 00:06:50
    5. Summary 00:00:26
  5. Chapter 5 : Section5: Using Speech with the Chatbot
    1. Lesson Introduction 00:01:17
    2. Amazon Connect Basics 00:07:10
    3. Using Amazon Lex Chatbots with Amazon Connect 00:01:43
    4. Contact Flow Templates 00:07:48
    5. Summary 00:00:55
  6. Chapter 6 : Section6: Analyzing Images with Computer Vision
    1. Lesson Introduction 00:01:34
    2. Amazon Rekognition Basics 00:01:54
    3. Rekognition and Deep Learning 00:05:47
    4. Facial Analysis and Celebrity Recognition 00:06:16
    5. Face Comparison and Text in Images 00:05:21
    6. Summary 00:00:55