20+ Machine Learning as a Service Platforms


Machine learning as a service offers the distinct advantage of scalable machine resources as and when they are needed. The platforms listed below vary in sophistication. Some offer AI assistance, while others are simply platforms for coordinating work when developing in R or python. Take your pick.

Automatic Business Modeler (ABM) is a tool for automatic prediction of customers behavior. It provides full automation of essential, yet time-consuming activities in predictive model construction, such as fast variable selection, variable interaction modeling, and variable transformations or best model selection.

Algorithmia provides a could based platform for algorithm developers to share their work, and for application developers to incorporate algorithms into their applications.

algorithms.io provide a cloud hosted service to collect data, generate classification models and score new data. Code is added to web and portable device applications which stream data to the algorithms.io service, where it is captured and processed.

Amazon Machine Learning provides visualization tools and wizards that guide users through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. Once models are ready, Amazon Machine Learning makes it easy to get predictions for an application using simple APIs.

Arimo describes itself as a Behavioral AI Platform utilizing deep learning technologies. It works with time series data to discover patterns of behavior and has developed solutions in manufacturing, retail and financial services.

BigML is a cloud based machine learning platform with an easy to use graphical interface. It also provides simple mechanisms to incorporate predictive models into production applications through its REST API.

Civis Analytics provides a machine learning platform that also includes large demographic databases and consulting services. Workflows that address various business problems are made available to users of the platform.

Crowdflower combines machine learning with crowd based services to collect, clean and label data sets (under NDA if needed). Provides a unique combination of machine and human skills.

Dataiku is profiled as a collaborative data science platform. It comes with all the tools most data scientists would need, along with a visual interface.

DataRobot comes as a cloud service and on-premises installation. It provides methods for the automation of many repetitive data science tasks.

DataScience offer a cloud based platform supporting most of the languages and libraries used in data science. It also comes with advisory services and some common data science solutions (e.g. recommendation engines, churn).

Domino can be implemented on-site or in the cloud. It uses all the commonly used tools and provides a working environment with features such as version control, collaboration and deployment tools.

FICO Analytic Cloud embraces machine learning, statistics, optimization and business rules management, in the context of a well managed environment. It also serves as a marketplace for developers of analytic solutions and users who have a need for them.

Google Prediction API can integrate with App Engine, and the RESTful API is available through libraries for many popular languages, such as Python, JavaScript and .NET. The Prediction API provides pattern-matching and machine learning capabilities.

HPE Haven OnDemand provides more than 60 APIs and services that deliver deep learning analytics on a wide range of data, including text, audio, image, social, web and video.

Microsoft Machine Learning Studio features a library of time-saving sample experiments, R and Python packages and best-in-class algorithms from Microsoft businesses like Xbox and Bing. Azure ML also supports R and Python custom code, which can be dropped directly into your workspace.

MLJAR.com – human-first machine learning platform. It makes machine learning algorithms search and tuning painless. User need to upload a dataset, select input and target attributes and mljar will find best matching ML algorithm.

Nutonian provides an AI powered modeling engine that cycles through large numbers of models and presents those that give the most reliable results.

Opera Solutions uses Signal Hub to extract thousands of ‘signals’ from large amounts of data. The signals (predictive relationships) can then be used by anyone who wants to build models or understand business dynamics.

PurePredictive uses AI to automate the machine learning process. The platform automates the discovery of data transformations and higher order relationships between data features and automatically accommodates data drift.

yhat offers 3 products to production line data science. ScienceOps supports rapid model deployment via a REST API, Bandit helps with job management and model tracking, and Rodeo is a free python IDE that runs on the desktop.

Yottamine Predictive Service allows for building models or making predictions in two simple steps. Via integration with scalable cloud computing it provides high speed and efficiency. It also conforms with the SSL industry security standard and can exports to PMML those models that are supported by the standard. Data scientists can connect and control Yottamine Predictive Web Services using R programming language via YottamineR package.