Common Tools For Business

Statistical Analytics and Machine Learning Tools

Deep Learning Frameworks

Automated Machine Learning Tools

We are in a AutoML era. Don’t miss the following if you haven’t heard of these tools yet,.

Some of the most popular AutoML tools are AutoKeras, Google Cloud AutoML, IBM Watson, DataRobot, H2O’s Driverless AI, and Amazon’s Lex.

AutoML is expected to be the next big thing in the AI/ML community with a major focus on reducing the technical operations of the business and automating the entire process/channel so that business leaders can use it to make strategic decisions.

Above, we have discussed data collection and the tools used to accomplish the retrieval, processing and storage of data required.

Data science is made up of numerous domains, each with its own set of tools and frameworks. So the choice of data science tools usually depends on one’s personal choice, the field or project one is working on, and of course the team organization.

Data Science and Machine Learning Platforms

Many software vendors also offer commercially licensed platforms that integrate functionality for machine learning, AI and other data science applications. These products are diverse, they include machine learning operations centers, automated machine learning platforms, and full-featured analytics suites, some of which combine these capabilities. Many platforms include the data science tools listed above. Matlab and SAS can also be counted as data science platforms. Other important platform options for data science teams to consider include

  • Alteryx Analytic Process Automation Platform
  • Amazon SageMaker
  • Azure Machine Learning
  • Databricks Lakehouse Platform
  • Dataiku
  • DataRobot
  • Domino Data Science Platform
  • Google Cloud AI Platform
  • H2O AI Hybrid Cloud
  • IBM Watson Studio
  • Knime
  • RapidMiner
  • Tibco Data Science

Some platforms also offer free open source or community versions such as Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server package that supports team-based collaboration and workflow automation, deployment and management.