Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.
$0
per month
Copyleaks
Score 8.8 out of 10
N/A
An AI text analysis platform dedicated to empowering businesses and educational institutions as they navigate the ever-evolving landscape of genAI through responsible AI innovation, balancing technological advancement with integrity, transparency, and ethics. Since 2015, Copyleaks harnesses AI to empower authenticity and originality. The suite of tools is designed to ensure AI governance and responsible AI adoption, safeguard IP, confirm copyright compliance, and maintain…
My organization has been implementing this tool to make sure that each project and tasks we carry out is 100% unique and authentic, thanks to its excellent AI technology we can deepen and be sure that each project we carry out is original before being shared with other organizations , allows you to download your reports in PDF, which is excellent for later sharing with your clients and work team. It has the best LMS integrations such as Canvas, Sakai, Blackboard among others. There is really nothing inappropriate about it, as it can be used by both professionals and students.
User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.
It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
They are ideal tools to show plagiarism results from different websites in different languages, showing the percentage of plagiarism or duplication. With the exception of PlagScan which is available only in English.
Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details