Word of the Day: Amazon Machine Learning

Word of the Day Daily updates on the latest technology terms |July 3, 2017

Amazon Machine Learning Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications. The service helps companies improve the profitability and effectiveness of their applications. For example, models can be used to detect fraudulent charges with online payments, predict items that will interest a particular end user or forecast product demand during a particular timeframe. A developer sets up machine learning models for applications in accordance with specified needs, eliminating the need for the developer to write custom prediction code or manage the infrastructure. Amazon generates models by using what it calls an "industry-standard logistic regression algorithm," which determines the probability of how an end user will interact with an application based on past data. A developer can retrieve predictions using the batch API -- for bulk requests -- or a real-time API -- for individual records. The service processes both types of API requests immediately, and can handle up to five simultaneous batch requests. Amazon Machine Learning reads data through Amazon Simple Storage Service (S3), Redshift and Relational Database Service, and then visualizes the data through the AWS Management Console and the Amazon Machine Learning API. Data from other AWS products can also be exported into CSV files, which can be placed into Amazon S3 buckets to be accessed by Amazon Machine Learning. A developer cannot import models into or export models out of Amazon Machine Learning. Amazon Machine Learning models and other system artifacts are encrypted both in transit and at rest. Requests to the service are made using a secure sockets layer (SSL) connection. A developer can also implement Amazon Identity and Access Management policies to further secure applications. Quote of the Day "Amazon Machine Learning is another example of AWS taking something that is complex, expensive and usually slow, and turning it into an easily digestible service offering using tools originally developed by their own teams." - Jason McKay   Trending Terms Amazon S3 Amazon AI machine learning Amazon Go deep learning   Learning Center Amazon Machine Learning platform packs punch but lacks tooling The Amazon Machine Learning platform has several noteworthy limitations involving data storage, model tuning and detailed functionality. Machine learning platforms comparison: Amazon, Azure, Google, IBM There are many machine learning platforms today, but choosing the right one is tough. Use this chart to learn about your options. What are the benefits of a machine learning service? A machine learning service can help companies make informed decisions based on behaviors observed in collected data. AWS Machine Learning service is one such tool. Cloud AI services slowly but surely lure enterprise IT shops As enterprises turn to cloud AI services, four cloud providers -- Amazon, Microsoft, Google and IBM -- battle for the lead in the market. Machine learning use cases add up in AWS' favor Amazon Machine Learning use cases are as diverse as AWS' pool of customers. Competition exists from IBM and Microsoft, but Amazon's product has a foothold in the market. Writing for Business Amazon Go is the best idea for improving the brick and mortar grocery shopping experience in quite _______. a. awhile b. a while Answer       Stay In Touch For feedback about any of our definitions or to suggest a new definition, please contact me at: mrouse@techtarget.com   Visit the Word of the Day Archives and catch up on what you've missed!   FOLLOW US About This E-Newsletter This e-newsletter is published by the TechTarget network. To unsubscribe from Whatis.com, click here. Please note, this will not affect any other subscriptions you have signed up for. TechTarget, Whatis, 275 Grove Street, Newton, MA 02466. Contact: webmaster@techtarget.com Copyright 2016 TechTarget. All rights reserved.