Here is a brief summary of Amazon’s machine learning service in AWS.

Main function:

• Data modelling for prediction using supervised learning
• Try to predict characteristics like
  • Is this email spam
  • Will this customer buy my product

Key benefits:

• No infrastructure management required
• Democratises data science
  • Wizard-based model generation, evaluation and deployment
  • Does not require data science expertise
  • Built for developers
• Bridges the gap between developing a predictive model and building an application

Type of prediction model:

• Binary classification using logistic regression
• Multiclass classification using multinomial logistic regression
• Regression using linear regression

Process:

• Determine what question you want to answer
• Collect labelled data
• Convert to csv format and upload to Amazon S3
• Cleanup and aggregate data with AWS ML assistance
• Split data into training and aggregation sets using the wizard
• Wait for AWS ML to generate a model
• Evaluate and modify the model with the wizard
• Use the model to create predictions on a batch or single api call basis

Pricing: Pay as you go

Useful links:

• Intro video
• Developer video
• Blog with step-by-step guide
• Amazon Machine Learning concepts documentation