Microsoft today announced drag-and-drop features three machine learning services to simplify the development and deployment of large scale machine learning projects. These three services come with many components including a new interface for a tool that enables the users to model the process in the UI interface without any coding. The new drag-and-drop machine learning tool will help data scientists to design models and create large scale machine learning process in GUI interface.
With these tools Microsoft aims to simplify the development of complex machine learning project work. The new system comes with the hosted Jupyter-style notebooks for advanced users. These news tools is design to completely automate the process of machine learning like creating model, training model, deploying model with new no-code visual interface.
The machine learning and development of applications for enterprise is very complex process. It requires a lot of effort just to learn machine learning and then utilizing the skills to develop real applications. Traditional machine learning development requires a lot of efforts in coding, data preparation, model training, model testing and product ionizing the solutions. Microsoft came up with the tools to automatic this process with the help of many tools and GUI application designer which help developers in quickly develop machine learning applications.
Microsoft new drag-and-drop machine learning tool on Azure will hide all the complexity of machine learning and enable developers to use pre-configured platform for their machine learning applications.
The new interface of Azure’s automated machine learning tool will help creating model in easy way by importing data and then use the pre-configured service to do the predictions. With these tools you don’t have to write a single line of code. These new tools support a number of new algorithms and optimizations that should result in more accurate models.
Microsoft says “complete transparency into algorithms, so developers and data scientists can manually override and control the process.”
Microsoft also launched preview a visual interface for its Azure Machine Learning service that will allow the developers to build, ingest data, train and deploy machine learning model of any size without any code. The good thing is that it comes with an UI interface to do all these things in very fast manner.
Due to complexity of machine learning and deep learning project many companies like Google, IBM, Microsoft and other are continuously working on platform/packages to simplify it.
The new tool Azure Machine Learning visual interface released this week looks like existing Azure ML Studio, Microsoft’s first stab at building a visual machine learning tool.
