Watson Studio

Watson Studio is a data analysis application that accelerates machine and deep learning workflows required for infusing AI into your business to drive innovation. Watson Studio provides you with a suite of tools for application developers, data scientists, and subject matter experts to collaboratively and easily work with data as well as the data to train, build, and deploy models.

Watson Studio also provides a choice of tools for the full AI lifecycle such as IBM tools. With Watson Studio, you have the ability to choose between code or no-code tools to enable you to build and train your ML/DL models as well as customize and retrain pre-trained Watson APIs easily.

The critical features provided by Watson Studio include continuous learning, deep learning integration, refining of data, and viewing your data. Watson Studio provides you with tools you know such as Notebooks, RStudio, and Jupyter that enable you to perform data analysis easily. The continuous learning feature provides you with an excellent platform for teaching Watson with embedded AI services such as Watson Visual Recognition and enables you to convert custom models to CoreML.

The deep learning integration feature enables you to use visual models that require no codes. The deep learning integration also provides you with an excellent platform for designing neural architectures by using the most common deep learning frameworks.

Watson Studio enables you to spend less time when preparing your data and provide you with more time to discover insights using data refinery. Watson Studio provides you with an excellent platform for exploring and visualizing data with embedded and interactive dashboards.

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More Information on Predictive Analysis Process

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.