Amazon Machine Learning | General Flashcards
What is Amazon Machine Learning?
General
Amazon Machine Learning | Machine Learning
Amazon Machine Learning is a machine service that allows you to easily build predictive applications, including fraud detection, demand forecasting, and click prediction. Amazon Machine Learning uses powerful algorithms that can help you create machine learning models by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available. The AWS Management Console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Once the models are created, you can get predictions for your application by using the simple API, without having to implement custom prediction generation code or manage any infrastructure. Amazon Machine Learning is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. With Amazon Machine Learning there is no setup cost and you pay as you go, so you can start small and scale as your application grows.
What can I do with Amazon Machine Learning?
General
Amazon Machine Learning | Machine Learning
You can use Amazon Machine Learning to create a wide variety of predictive applications. For example, you can use Amazon Machine Learning to help you build applications that flag suspicious transactions, detect fraudulent orders, forecast demand, personalize content, predict user activity, filter reviews, listen to social media, analyze free text, and recommend items.
What is machine learning?
General
Amazon Machine Learning | Machine Learning
Machine learning (ML) is a technology that helps you use historical data to make informed business decisions. ML algorithms discover patterns in data and construct mathematical models using these patterns. Then, you can use the models to make predictions on future data. For example, one possible application of machine learning is detecting fraudulent transactions based on examples of both successful and failed past purchases.
How do I get started with Amazon Machine Learning?
General
Amazon Machine Learning | Machine Learning
The best way to get started with Amazon Machine Learning is to follow the tutorial in the Amazon Machine Learning Developer Guide. The tutorial guides you through creating a machine learning model from a sample dataset, evaluating this model, and using it to create predictions. After completing the tutorial, you can use Amazon Machine Learning to create your own ML models. For more information, see the Amazon Machine Learning Developer Guide and the Amazon Machine Learning API Reference.
What is training data?
General
Amazon Machine Learning | Machine Learning
Training data is used to create machine learning models. It consists of known data points from the past. You can use Amazon Machine Learning to extract patterns from this data, and use them to build machine learning models.
What is the target attribute?
General
Amazon Machine Learning | Machine Learning
The target attribute is a special attribute in the training data that contains the information that Amazon Machine Learning attempts to predict. For example, let’s say you want to build a model that predicts whether a transaction is fraudulent or not. Your training data contains metadata on a past transaction that has a target attribute of “1” if the transaction was ultimately declined by the bank, or “0” otherwise. You use Amazon Machine Learning to discover patterns that connect the target attribute with the transaction metadata (all other attributes). You use ML models based on these patterns to make a prediction without the target attribute present. In this example, it means predicting whether a transaction is fraudulent based on its metadata, before knowing whether the bank will reject it or not.
What algorithm does Amazon Machine Learning use to generate models?
General
Amazon Machine Learning | Machine Learning
Amazon Machine Learning currently uses an industry-standard logistic regression algorithm to generate models.
In which AWS regions is Amazon Machine Learning available?
General
Amazon Machine Learning | Machine Learning
For a list of the supported Amazon Machine Learning AWS regions, please visit the AWS Region Table for all AWS global infrastructure. Also for more information, see Regions and Endpoints in the AWS General Reference.
What is the service availability of Amazon Machine Learning?
General
Amazon Machine Learning | Machine Learning
Amazon Machine Learning is designed for high availability. There are no maintenance windows or scheduled downtimes. The API for model training, evaluation, and batch prediction runs in Amazon’s proven, high-availability data centers, with service stack replication configured across three facilities in each AWS region to provide fault tolerance in the event of a server failure or Availability Zone outage.
