Top No-Code Machine Learning platforms
As we know no-code AI platforms work in one of two ways:
- Drop-Down Menus : Drop-Menus displays list of options for selections by clicking on a menu button.
- Drag- Drop interface : This interfaces allow users to move items on a screen by dragging them with a cursor and dropping them into a new location.
According to the user requirement the user can select and according to question answer the user can take drop-down menus or they can use the drag-drop interface and provide the user requirement to the interface and model are build.
- Google Cloud AutoML: Google Cloud AutoML allows users to build custom machine learning models without the need for extensive programming skills. it enables your entire team to automatically build and deploy state-of-the-art machine learning models on structured data at massively increased speed and scale.
- IBM Watson Studio: IBM Watson Studio is an integrated environment for machine learning and data science. It offers a no-code, drag-and-drop interface for building and deploying machine learning models. Watson Studio supports collaboration and provides tools for data preparation and exploration.
- DataRobot: DataRobot is a comprehensive automated machine learning platform that caters to both beginners and advanced users. It automates the end-to-end machine learning workflow, from data preparation to model deployment, using a visual interface.
- BigML: BigML is a machine learning platform that offers both a visual interface for creating models and APIs for developers. It supports tasks such as classification, regression, clustering, and anomaly detection.
What is No-Code Machine Learning?
As we know Machine learning is a field in which the data are provided according to the use case of the feature engineering then model selection, model training, and model deployment are done with programming languages like Python and R. For developing the model the person or developer must have the data science domain for implementation. to overcome this problem of knowing the domain users are No-code Machine Learning is a machine learning approach that implements user ideas for building the model who don’t have any knowledge of coding to build, train, and deploy different machine learning models. No Code ML platforms feature intuitive graphical user interfaces that allow users to interact with the tools without coding skills.
In this article, we will explore No-Code Machine Learning , Features of no-code machine learning , Difference between traditional and no-code machine learning , Use of No-code ML across industries.