ML

Question 1

Amazon Rekognition

Answer 1

• Find objects, people, text, scenes in images and video using ML
• Facial analysis and facial search to do user verification, people counting
• Create a database of familiar faces or compare against celebrities
• Use cases:
  
  • Labeling
  • Content Moderation
  • Text Detection
  • Face Detection and Analysis (gender, age range, emotions…)
  • Face Search and Verification
  • Celebrity Recognition
  • Pathing (ex. For sports game analysis)

Question 2

Amazon SageMaker

Answer 2

• Fully managed service for developers / data scientists to build ML models
• Typically difficult to do all the processes in one place + provision servers
• Machine learning process (simplified): predicting your exam score

Question 3

Lex

Answer 3

build conversational bots - chatbots

Question 4

Amazon Comprehend

Answer 4

• For Natural Language Processing - NLP
• Fully managed and serverless service
• Uses machine learning to find insights and relationships in text
  
  • Language of the text
  • Extracts key phrases, places, people, brands or events
  • Understands how positive or negative the text is
  • Analyzes text using tokenization and parts of speech
  • Automatically organizes a collection of text files by topic
• Sample use cases:
  
  • Analyze customer interactions (emails) to find what leads to a positive or negative experience
  • Create and group articles by topics that Comprehend will uncover

Question 5

Amazon Connect

Answer 5

• Receive calls, create contact flows, cloud-based virtual contact center
  
  • Can integration with other CRM systems or AWS

Question 6

Polly

Answer 6

• Turn text into lifelike speech using deep learning

* Allowing you to create applications that talk

Question 7

Transcribe

Answer 7

• Automatically convert speech to text
• Uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately
• Use cases:
  
  • Transcribe customer service calls
  • Automate closed captioning and subtitling
  • Generate metadata for media assets to create a fully searchable archive