Amazon Machine Learning

From Verify.Wiki
Jump to: navigation, search

Amazon Machine Learning is a service that provides users tools to create machine learning applications. Powerful algorithms from machine learning are used by Amazon for finding patterns in data to provide accurate data predictions. Implementation of machine language to built models requires high degree of complex algorithms,this can be expensive, difficult and highly time consuming. However with Amazon machine learning it gives developers of all levels without any extensive machine learning background the right tools to create data driven models. Amazon machine learning system obtains the users data by S3 (simple storage services) , Redshift and RDS methods. The wizards and API tools will guide users to create the machine learning model after all the data is attained. From this if patterns are found in existing data, the models will process new data and generate predictions for these application. [1]


  • Machine Learning supports multiple data sources within its system.
  • With Amazon machine learning allows you to create a data source object from data residing in Amazon Redshift, which is the Data Warehouse Platform as a service.
  • Amazon Machine learning allows you to create a data source object from data stored in a MySQL database.
  • Supports three types of models such as binary classification, multiclass classification, and regression.



  • Major advantage of Amazon Machine learning is the ability to scale large amounts of data with a user friendly interface.
  • Data visualization tools are clear and provides accurate detailing.
  • An advantage of integration with existing Amazon Web Services developments.



  • Disadvantages of lack speed in data processing during the building and evaluation cycle. This can be time consuming and immediate feedback is not provided.
  • Lack of data analysis besides value distribution.
  • Does not support for any missing values in categorical features.


  • April 9th, 2015 Amazon released the Amazon ML Developer Guide.
  • November 19th, 2015 Amazon Machine Learning adds ability to try real-time predictions in the service console.
  • December 3rd, 2015 Additional Data Rearrangement options added with this addition it gave the ability to split input data randomly and create complementary data sources.
  • February 9th, 2016 Improved Amazon Red shift data schema conversion, with this improvement Data source wizards can be created in the Amazon Machine Learning.


Top 5 Recent Tweets

Date Author Tweet
24 Feb 2016 @pastelgpc #Amazon Machine Learning (#MLaaS): Nice and Easy or Overly Simple?
19 Feb 2016 @Big_DATA_News Using Amazon Redshift with Amazon ML - Amazon Machine Learning
18 Feb 2016 @_Five_O Best cloud server hosts for machine learning? What do you guys think are the best cloud hosts for machine learning servers? Amazon seems to…
5 Feb 2016 @continuity1tech Amazon Machine Learning: Nice & easy or overly simple? #MachineLearning #AWS
3 Feb 2016 @ashannstew "Machine learning will be the magic. I fully expect my Amazon orders will show up before I order," Google's Craig Mcluckie.

Top 5 Recent News Headlines

Top 5 Lifetime Tweets

Date Author Tweet
1 Mar 2016 @lambdamedia How IBM, Google, Microsoft, and Amazon do machine learning in the cloud - RT @jose_garde
2 Mar 2016 @TreasureData Data Scientists & Engineers test run the pain-free analytic infrastructure. No Hadoop exp, no hardware. Free trial
15 Feb 2016 @QuoraSessions Amazon's Director of Machine Learning Science @rherbrich,, now taking questions!
29 Feb 2016 @odsc Amazon Machine Learning too simple to reap the benefits of predictive analytics? #ODSC
28 Jan 2016 @Beaconstac How @amazon uses machine learning to drive #retail success

Top 5 Lifetime News Headlines

  2. /

Verification history