Machine Learning

Question 1

Types of AWS Machine Learning Solutions

Answer 1

Rekognition - automate your image and video analysis

Comprehend - natural-language processing (NLP) service that finds relationships in text.

Polly - text to speech

SageMaker - build, train, deploy machine learning models

Translate - language translation

Lex - build conversational interfaces

Question 2

Rekognition

Answer 2

Rekognition allows you to automate your image and video analysis

real world scenario: Rekognition could help Alfredo identify the toppings on his pizzas to make sure they are being made consistently. This would be a great way to train new employees and ensure food quality!

Question 3

Comprehend

Answer 3

Comprehend is a natural-language processing (NLP)
service that finds relationships in text.

Comprehend in the Real World: Comprehend could help Alfredo process social media posts by looking for words that show customer sentiment about his pizza — words like delicious, tasty, cold, or bad taste. This is a great way to tell if his customers are happy.

Question 4

Polly

Answer 4

Polly turns text into speech.

Polly in the Real World: Polly could convert the text on a blog post to speech that could then be downloaded or replayed in MP3 format. Audio is often a great complement to written communication.

Question 5

SageMaker

Answer 5

SageMaker helps you build, train, and deploy machine learning models quickly.

SageMaker in the Real World: Companies like Netflix and Amazon use machine learning models to recommend movies and products to buy. SageMaker is a great tool for creating these models.

Question 6

Translate

Answer 6

Translate provides language translation.

Translate in the Real World: Add localization to websites or applications. Translate allows you to add localization to your applications to support your diverse user base. Translate supports several popular languages. Hello, Hola, Ciao, Niheo, konnichiwa