Machine Learning with AWS

Preface......Page 9
Introduction to Amazon Web Services......Page 15
What is Artificial Intelligence?......Page 16
What is Amazon S3?......Page 17
AWS Free-Tier Account......Page 18
Core S3 Concepts......Page 19
S3 Operations......Page 21
REST Interface......Page 22
Exercise 1: Using the AWS Management Console to Create an S3 Bucket......Page 23
Exercise 2: Importing and Exporting the File with your S3 Bucket......Page 26
Exercise 3: Configuring the Command-Line Interface......Page 31
Recursion and Parameters......Page 36
Activity 1: Importing and Exporting the Data into S3 with the CLI......Page 37
Exercise 4: Navigating the AWS Management Console......Page 38
Activity 2: Testing the Amazon Comprehend\'s API Features......Page 40
Summary......Page 41
SummarizingText Documents Using NLP......Page 43
What is Natural Language Processing?......Page 44
Using Amazon Comprehend to Inspect Text and Determine the Primary Language......Page 45
Exercise 5: Detecting the Dominant Language Using the Command-Line Interface in a text document......Page 46
Exercise 6: Detecting the Dominant Language in Multiple Documents by Using the Command-Line Interface (CLI)......Page 49
Detecting Named Entities – AWS SDK for Python (boto3)......Page 50
Exercise 7: Determining the Named Entities in a Document......Page 52
DetectEntities in a Set of Documents (Text Files)......Page 54
Exercise 8: Determining the Key Phrase Detection.......Page 55
Exercise 9: Detecting Sentiment Analysis......Page 56
What is AWS Lambda?......Page 58
Lambda Function Anatomy......Page 59
Exercise 10: Setting up a Lambda function for S3......Page 60
Exercise 11: Configuring the Trigger for an S3 Bucket......Page 66
Exercise 12: Assigning Policies to S3_trigger to Access Comprehend......Page 70
Activity 3: Integrating Lambda with Amazon Comprehend to Perform Text Analysis......Page 72
Summary......Page 74
Perform Topic Modeling and Theme Extraction......Page 77
Topic Modeling with Latent Dirichlet Allocation (LDA)......Page 78
Why Use LDA?......Page 79
Amazon Comprehend–Topic Modeling Guidelines......Page 80
Exercise 13: Topic Modeling of a Known Topic Structure......Page 82
Exercise 14: Performing Known Structure Analysis......Page 98
Activity 4: Perform Topic Modeling on a Set of Documents with Unknown Topics......Page 101
Summary......Page 102
Creating a Chatbot with Natural Language......Page 105
The Business Case for Chatbots......Page 106
Core Concepts in a Nutshell......Page 107
Introduction......Page 110
Exercise 15: Creating a Sample Chatbot to Order Flowers......Page 111
Creating a Custom Chatbot......Page 119
A Bot Recognizing an Intent and Filling a Slot......Page 121
Exercise 16: Creating a Bot that will Recognize an Intent and Fill a Slot......Page 122
Natural Language Understanding Engine......Page 132
Lambda Function – Implementation of Business Logic......Page 134
Exercise 17: Creating a Lambda Function to Handle Chatbot Fulfillment......Page 135
Implementing the Lambda Function......Page 137
Input Parameter Structure......Page 138
Implementing the Function to Retrieve the Market Quote......Page 139
Returning the Information to the Calling App (The Chatbot)......Page 140
Connecting to the Chatbot......Page 141
Summary......Page 143
Using Speech with the Chatbot......Page 145
Free Tier Information......Page 146
Interacting with the Chatbot......Page 147
Talking to Your Chatbot through a Call Center using Amazon Connect......Page 148
Exercise 18: Creating a Personal Call Center......Page 149
Exercise 19: Obtaining a Free Phone Number for your Call Center......Page 155
Using Amazon Lex Chatbots with Amazon Connect......Page 157
Contact Flow Templates......Page 158
Exercise 20: Connect the Call Center to Your Lex Chatbot......Page 159
Activity 1: Creating a Custom Bot and Connecting the Bot with Amazon Connect......Page 168
Summary......Page 169
Analyzing Images with Computer Vision......Page 171
Amazon Rekognition Basics......Page 172
Rekognition and Deep Learning......Page 173
Detect Objects and Scenes in Images......Page 174
Exercise 21: Detecting Objects and Scenes using your own images......Page 177
Image Moderation......Page 180
Exercise 22: Detecting objectionable content in images......Page 183
Facial Analysis......Page 185
Exercise 23: Analyzing Faces in your Own Images......Page 186
Celebrity Recognition......Page 191
Exercise 24: Recognizing Celebrities in your Own Images......Page 193
Face Comparison......Page 196
Activity 1: Creating and Analyzing Different Faces in Rekognition......Page 198
Text in Images......Page 199
Exercise 25: Extracting Text from your Own Images......Page 200
Summary......Page 203
Appendix A......Page 205
Index......Page 249
_GoBack......Page 236