RapidMiner is a powerful tool for advanced analytics, data mining and predictive analytics. It provides a graphical interface that enables data scientists, data analysts and business users to build predictive models, perform descriptive statistics, create visualisations, test and rapidly deploy machine learning models for any type of data...

SAS Visual Data Mining and Machine Learning (VDMML) is a software package, part of the SAS Viya platform, that allows users to analyse data, find patterns and make predictions. The software can be used for a variety of tasks, such as predictive analytics and modelling, providing a complete solution for advanced analytics.

R is an open source suite of utilities and a programming language for data manipulation, statistical calculations, analytics and graphics visualisation.

The environment is easily extendable with new packages (statistics, graphics, analytics, etc.) contributed by the community of R users and developers...

Google Cloud AI Platform is a comprehensive set of tools for building, deploying and managing machine learning applications, or integrating them into home-grown applications. It includes pre-trained models that can be used out-of-the-box or customised to meet specific business needs, as well as a wide variety of integrated services that can be used together or separately to build any type of application.

Key features include:

Python is a general-purpose open source language, but thanks to the development of powerful analytics, data processing and predictive modelling libraries, it has become the main programming language used for Data Science projects, along with R...

DataRobot is a data science platform that helps companies make better decisions using large amounts of data. It provides an easy-to-use interface that allows users to ask questions, extract and analyse data, and generate predictive models...

Amazon SageMaker is a machine learning solution that enables data scientists and developers to create, train and deploy machine learning models. It supports batch and online learning, and comes with pre-built algorithms for common use cases.

It has an intuitive user interface, powerful algorithms and an enterprise-grade infrastructure that allows you to build your machine learning solution without having to be an expert in cloud infrastructure or deep learning.

MATLAB is a programming language and high-performance computing environment for algorithm development, data visualization, data analysis, and numerical computation. Combining high-level programming features with dynamic data types, MATLAB provides an environment for rapidly prototyping ideas and developing software to solve technical computing and analytical problems...

Spark is an open source framework from Apache Software Foundation for distributed processing of large amounts of data on clusters of computers, designed for use in Big Data environments, and created to enhance the capabilities of its predecessor MapReduce.

Spark inherits the scalability and fault tolerance capabilities of MapReduce, but far surpasses it in terms of processing speed, ease of use and analytical capabilities...