English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 2h 22m | 568 MB
Explore the power of cloud services for your machine learning and artificial intelligence projects
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.
What You Will Learn
- Get up and running with machine learning on the AWS platform
- Analyze unstructured text using AI and Amazon Comprehend
- Create a chatbot and interact with it using speech and text input
- Retrieve external data via your chatbot
- Develop a natural language interface
- Apply AI to images and videos with Amazon Rekognition
Table of Contents
Introduction to Amazon Web Services
1 Course Overview
2 Lesson Introduction
3 Amazon Web Services
4 Amazon S3
5 Core S3 Concepts
6 AWS Command Line Interface (CLI)
7 Summary
Summarizing Text Documents Using NLP
8 Lesson Introduction
9 Using Amazon Comprehend
10 Amazon Comprehend Supported Languages
11 Extracting Information in a Set of Documents
12 Detecting Key Phrases and Sentiments
13 What is Lambda Function
14 Setting up Lambda Function
15 Summary
Perform Topic Modelling and Theme Extraction
16 Lesson Introduction
17 Extracting and Analyzing Common Themes
18 Topic Modeling with Latent Dirichlet Allocation (LDA)
19 Topic Modeling Guidelines
20 Summary
Creating Chatbot with Natural Language
21 Lesson Introduction
22 What is a Chatbot
23 Creating a Chatbot with Natural Language
24 Lambda Function
25 Summary
Using Speech with the Chatbot
26 Lesson Introduction
27 Amazon Connect Basics
28 Using Amazon Lex Chatbots with Amazon Connect
29 Contact Flow Templates
30 Summary
Analyzing Images with Computer Vision
31 Lesson Introduction
32 Amazon Rekognition Basics
33 Rekognition and Deep Learning
34 Facial Analysis and Celebrity Recognition
35 Face Comparison and Text in Images
36 Summary
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