舉報 
會員
The Applied AI and Natural Language Processing Workshop
AreyoufascinatedwithapplicationslikeAlexaandSiriandhowtheyaccuratelyprocessinformationwithinsecondsbeforereturningaccurateresults?Areyoulookingforapracticalguidethatwillteachyouhowtobuildintelligentapplicationsthatcanrevolutionizetheworldofartificialintelligence?TheAppliedAIandNLPWorkshopwilltakeyouonapracticaljourneywhereyouwilllearnhowtobuildartificialintelligence(AI)andnaturallanguageprocessing(NLP)applicationswithAmazonWebservices(AWS).StartingwithanintroductiontoAIandmachinelearning,thisbookwillexplainhowAmazonS3,orAmazonSimpleStorageService,works.You’llthenintegrateAIwithAWStobuildserverlessservicesanduseAmazon’sNLPserviceComprehendtoperformtextanalysisonadocument.Asyouadvance,thebookwillhelpyougettogripswithtopicmodelingtoextractandanalyzecommonthemesonasetofdocumentswithunknowntopics.You’llalsoworkwithAmazonLextocreateandcustomizeachatbotfortaskautomationanduseAmazonRekognitionfordetectingobjects,scenes,andtextinimages.BytheendofTheAppliedAIandNLPWorkshop,you’llbeequippedwiththeknowledgeandskillsneededtobuildscalableintelligentapplicationswithAWS.
目錄(60章)
倒序
- 封面
- 版權信息
- Preface
- 1. An Introduction to AWS
- Introduction
- How Is AWS Special?
- What Is Amazon S3?
- Core S3 Concepts
- Data Replication
- The AWS CLI
- CLI Usage
- Recursion and Parameters
- Using the AWS Console to Identify ML Services
- Summary
- 2. Analyzing Documents and Text with Natural Language Processing
- Introduction
- Serverless Computing
- Amazon Comprehend
- What Is an NLP Service?
- Using Amazon Comprehend to Inspect Text and Determine the Primary Language
- Extracting Information from a Set of Documents
- Setting Up a Lambda Function and Analyzing Imported Text Using Comprehend
- Amazon Textract
- Summary
- 3. Topic Modeling and Theme Extraction
- Introduction
- Topic Modeling with Latent Dirichlet Allocation (LDA)
- Amazon Comprehend—Topic Modeling Guidelines
- Summary
- 4. Conversational Artificial Intelligence
- Introduction to Conversational AI
- What Is a Chatbot?
- What Is Natural Language Understanding?
- Best Practices for Designing Conversational AI
- Creating a Custom Chatbot
- A Bot That Recognizes an Intent and Filling a Slot
- Lambda Function – Implementing Business Logic
- Summary
- 5. Using Speech with the Chatbot
- Amazon Connect Basics
- Interacting with the Chatbot
- Talking to Your Chatbot through a Call Center Using Amazon Connect
- Using Amazon Lex Chatbots with Amazon Connect
- Summary
- 6. Computer Vision and Image Processing
- Introduction
- Amazon Rekognition Basics
- Rekognition and Deep Learning
- Image Moderation
- Facial Analysis
- Celebrity Recognition
- Face Comparison
- Text in Images
- Summary
- Appendix
- 1. An Introduction to AWS
- 2. Analyzing Documents and Text with Natural Language Processing
- 3. Topic Modeling and Theme Extraction
- 5. Using Speech with the Chatbot
- 6. Computer Vision and Image Processing 更新時間：2021-06-18 18:19:47
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