Altair AI Studio Reviews & Product Details

No requirement that students learn even the basics of a programming language and yet with RapidMiner they can estimate and evaluate machine learning models quickly Review collected by and hosted on G2.com.

Other than typos that I find in some of the explanations in the tutorials, RapidMiner has exceeded my expectations to date. thank you! Review collected by and hosted on G2.com.

RapidMiner is helpful and supportive of data science/analytics life cycle for any data sets. The operators and their list are exhaustive and can be connected per the required design. The tool handles all possible machine learning models right from data cleaning to data preparation to modeling to deploying the models.

As long as the person handling the models using RapidMiner know the process of machine learning activities, how they need to be interconnected, use of various algorithms and their usefulness and limitations the toll provide a great deal of routine work pretty easily, and is very handy for all data scientists and analytics professionals along with business professional. Review collected by and hosted on G2.com.

I find some odds using this tool:

AutoML does not seem to handle data from Turbo Prep unless I am missing something here. Also, AuotML process hook ups or connectivity seem to be complicated unnecessarily, the same results are achieved by using simpler operators’ connections.

I worked on a problem where I have two data sets one for training with labels, and the other scoring data set where there is no target variable or target variable need to be predicted. In this scenario I was not able to use AutoML, which only can be used for training the data set. Probably I may be missing something!

-Ramesh Paramkusham, Ph.D Review collected by and hosted on G2.com.

Easy to use and good analytics speed that good for both researchers and students Review collected by and hosted on G2.com.

limit of ML techniques, Can not select another excel sheet for the first process of Auto ML Review collected by and hosted on G2.com.

I used RapidMinner in a Data Mining class, it was an easy program to use and it was easy to find and understand every operator (since everyone had an explanation). In my class we learned the basics but I hope I can use the program even more, I hope to learn more about it. Review collected by and hosted on G2.com.

The only problem I found was how to connect the operators sometimes. It takes time to understand that but it`s not impossible. Review collected by and hosted on G2.com.

Free for academic, Rapidminer automodel, complete tutorial, rapidminer academy, free certification, easy to use and template for several cases Review collected by and hosted on G2.com.

need to extend every year for faculty member, slow program, UI for operator not good looking Review collected by and hosted on G2.com.

How it works for clustering, one of the favorite tools my students have when I teach data mining. Review collected by and hosted on G2.com.

Now days, it requieres so much power from the computer and takes its resources to play, my students have complained about it and I think is one of the reasons why Gartner sent Rapidminer down in the magic quadrant in 2020 Review collected by and hosted on G2.com.

I am using Rapidminer for the last 6 months. I liked Rapidminer very much, it shows all processes transparently from reading the data to the final output. All processes are very transparent, and easy to use. We can see where our data flows clearly. There is a added benefit that anyone can understand what is happening to our data. We can update our processes very easily using graphical user interface. Most of the commonly used processes are already available in the RapidMiner as drag and drop. It is as easy as dragging and dropping the required process, and connecting its input and the output. Any one with basic idea of data analysis can use it comfortably. Review collected by and hosted on G2.com.

When running some processes, the software takes too much system resources. The computer becomes too hot, and unable to run if the data is big or the process is too large. We cannot run other programs during that time. If we want to rerun the process, we have to start from the beginning. There is no provision of saving the intermediate data during processing. We have to save the output then read again. that is the only one method that we can do. If we want to change any processes all controls, or all statistics is not available for the user. Review collected by and hosted on G2.com.

Auto Machine Learning feature. Application of best practices and the possibility of changing to a simple process, when users can analyze all the operators that have been used. Review collected by and hosted on G2.com.

I think the documentation generated by RapidMiner could be improved in RapidMiner, as this action will help all developers (data scientist) and customers in the presentation of models. Review collected by and hosted on G2.com.

The process flow is easy to use and the results contain rich information Review collected by and hosted on G2.com.

The trial license is limited to one year Review collected by and hosted on G2.com.

I think that the software has great support in terms of explanations given on how different algorithms work. This is very helpful. Review collected by and hosted on G2.com.

I think it is a bit complicated in terms of having to create and connect different boxes to enable a process to run. Other type of software have a more user friendly type of approach. Review collected by and hosted on G2.com.