TOP software Data Science

KNIME Analytics Platform

KNIME Analytics Platform is a software application that enables the creation and analysis of data-driven workflows, or pipelines, within the KNIME platform. The software was originally developed by researchers at the University of Konstanz in Germany, but is now available under an open source licence. 

The software offers a number of platform-specific features:

R

R Development StudioR 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...

H2O.ai

H2O.ai

H2O.ai is a machine learning software used to build and deploy predictive analytics models. H2O.ai provides an easy-to-use interface that allows users to build and train machine learning models without writing code. This can be done using built-in algorithms or by importing custom algorithms from R and Python...

MATLAB online

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...

RapidMiner

RapidMiner Studio

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...

Google Cloud AI

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:

Databricks

Databricks is a cloud-based software platform for data engineering, data science and machine learning. It provides a scalable environment for running high-performance data applications, and support for large datasets and high volumes of data processing...

Amazon SageMaker

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.