Make your work more hassle free with the machine learning platform

Started with an aim to support TensorFlow models, ClusterOne is now open to support all the models based on AI frameworks. The easy to use machine learning platforms are as easy as any other app is. All you have to do is make a project and then assign it a job and just sit back and let the Artificial intelligence do its job. Preferring deep learning platform over any other technology or man power saves you time and help you to get accuracy in your work. Accessing machine learning platforms might seem to be difficult but once you get to know what it is nothing will seem easier than getting the task done with the help of Artificial intelligence.

 

All you need to know before running a machine learning platform is the following. The machine learning platform requires the following to complete the task assigned to it.

• Project

• Datasets

• Job

Job is the end product of task assigned. Task and job are synonymous to each other. Job is completed with the help of project and datasets. Project and datasets are required before the job is initiated. The code which is to be run is in the project whereas the datasets have the data required to complete the job. When the project is coded and data is available the job will initiate and will be completed in no time.

 

The increasing demand of machine learning technologies led ClusterOne to open its door for all the businesses other than TensorFlow who are in need of it. ClusterOne has made its platforms in such a manner that they can be used by someone to whom the machine learning concept is new. ClusterOne provides different storage for datasets making it easier for the user to access the data uploaded once, again and again. Also at ClusterOne you can work on your TensorFlow projects as well making your working more hassle free. To access the machine learning platform, all you need to do is visit the website –Clusterone.com and you are all set to start working on your AI model.