2014 is already turning out to be a great year for BigML.
Machine learning technology, which is defined in this ProgrammableWeb article, is starting to become a common component in many types of technology platforms. Machine learning has led to the advent of predictive analytics, which has been rapidly growing in usage and is becoming an important aspect of business operations and processes.
BigML, a cloud based machine learning platform that allows users to quickly build predictive models using small or big data, has announced the availability of the BigML Winter Release. The release features faster predictive models with MTree, a new development mode that allows users to run unlimited tasks up to 16MB for free, and new prediction strategies. The BigML Winter Release also includes new BigML API features, including dataset transformations, multi datasets, weighted models and an extra language called Flatline that allows for a new paradigm which BigML calls Programmatic Machine Learning.
Quandl, a company that launched a search engine for numerical data in January 2013, plans on introducing a brand new uploading tool in early 2014 which will make it possible for users to upload their own datasets to the Quandl platform. In February of this year, the Toronto-based company launched the Quandl API which provides programmatic access to every single dataset available on Quandl.
We have covered Machine Learning APIs before, including BigML.com, Algorithms.io and others. We now continuing the series in an interview with Simon Chan of Prediction.io which aims to further bring machine learning closer to the common man, in an easier interface. PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.
We have covered BigML.com API for making machine learning models here before. Recently BigML made some innovative changes including new data visualization and new classification ensemble models, all doable by API. Here is an interview with Fransisco J Martin, CEO of BigML.com.
The ŷhat Cloud Toolbox is a suite of development tools for integrating predictive analytics into existing Web and mobile applications. ŷhat deploys your models as RESTful APIs, so there’s no need to port, translate, or adapt models for integration with existing systems. We have earlier covered YhatHQ API here.
The ŷhat Cloud Toolbox is a suite of development tools for integrating predictive analytics into existing Web and mobile applications. ŷhat deploys your models as RESTful APIs, so there’s no need to port, translate, or adapt models for integration with existing systems. It is currently in beta testing and an invite only stage.
Our API directory now includes 225 utility APIs. The newest is the Longdo Dict API. The most popular, in terms of mashups, is the Google Translate API. We list 41 Google Translate mashups. Below you’ll find some more stats from the directory, including the entire list of utility APIs.
We have covered the BigML API before because of its innovative use of machine learning through an API tied up with very easy to use interface. Think of it as Google Prediction API but without a black box algorithm, and with enhanced real time data visualizations and a much better user interface and crisper documentation.