Exploratory Alternatives [Page 2]

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

Open Source

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Optimize Everything. Tune your experiments automatically to get better results, faster. A/B testing.

pyBrain is a modular machine learning library for python that offer a flexible and powerful algorithms for machine learning task and a variety of predefined environments to test and compare algorithms.

DatumBox is a machine learning framework that can be applied to a wide variety of complex applications, though it's primarily used for social media analytics.

Open Source

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MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.

DecisionTree.jl is a Julia classifier with the implimentation of the ID3 algorithm with post pruning, parallelized bagging, adaptive boosting, cross validation and support for mixed nominal and numerical data.

Pylearn2 is a library for machine learning research.

Open Source

HLearn is a high performance machine learning library written in Haskell.

Pattern Recognition Toolbox provides pattern classification tools for MATLAB.

Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.