
It's ease of use: there was a very diverse cohort in my Data Mining class, where RapidMiner was introduced to me, and I can testify how psychologists, music professors and political scientists were twitching and tweaking ML models in no time.
The speed. It amazed me how, in a matter of minutes, you can pass from importing the data to clustering, classifying and/or forecasting. The in-built data visualization is very good: never felt like using Tableau when using RapidMiner. Review collected by and hosted on G2.com.
Its documentation is not as extensive as the one you can find with TensorFlow, Pytorch or MATLAB. In addition to this, the online community is very small.
Also, it is a bit pricey: Of course, compared to Python and R which are Open Source anything is expensive. Nonetheless, compared to MATLAB, I would say RapidMiner has a greater value for money if your company is looking to implement AI within the organization as fast as possible. Review collected by and hosted on G2.com.
Altair AI Studio is a powerful and intuitive platform for the development and deployment of artificial intelligence solutions. Its user-friendly interface and advanced features allow for everything from experimentation to the production of sophisticated models, making it an excellent choice for both beginners and AI experts. Review collected by and hosted on G2.com.
• Learning curve for advanced features ↳ Some more complex functionalities may require a longer adaptation time, especially for those who are just starting. Review collected by and hosted on G2.com.
Overall all's procces are good. Because it's AI studio. Ai is our future generation grow in our life. So all features are Amazing. I'm satisfy Altair air studio. Thanks appreciation for your grow. Review collected by and hosted on G2.com.
I think if your goal is future grow. So add so many features. That's a good idea for your growth. Overall I'm satisfy Review collected by and hosted on G2.com.
This software helping us a lot to connect to our data sources directly and creating an exact format which we wants. Review collected by and hosted on G2.com.
So far we dont see any drawback with Altair AI Studio software Review collected by and hosted on G2.com.
we do automated clustering, predictive modeling, feature engineering, and time series forecasting for our work Review collected by and hosted on G2.com.
we haven't gotten to something that it hasn't been really helpful for since we know what we are using it for when we open it Review collected by and hosted on G2.com.
It empowers our organization with advanced machine learning and data analytics, enabling smarter decision making. Its automation and predictive modeling streamline complex data process, improving efficiency. With seamless integration and scalability, it enhances our ability to analyze large datasets effectively. It has better user interface with drag and drop feature to create reports. Review collected by and hosted on G2.com.
Integration with certain legacy systems are bit complex which leads to longer implementation time. Review collected by and hosted on G2.com.
What I liked was how easy it is to use. And how well distributed Review collected by and hosted on G2.com.
What I didn't like was that sometimes contacting support was complicated. Review collected by and hosted on G2.com.
The most helpful thing about altair rapidminer is that it is very helpful for beginners in learning data science because the User Interface (UI) has used full Visualization which is very easy for beginners to learn and apply basic and advanced techniques in learning data science, the guide to solving errors is very helpful with options that can be easily selected by users. The advantages of using Altair Rapidminer are very visible in the application of data science which usually uses programming codes but can be done with an interactive and easy-to-use GUI that wraps the complexity of programming. Review collected by and hosted on G2.com.
what is less helpful and I feel in using rapidminer is that it cannot provide the results of accuracy, precision, recall and f1-score metrics, especially for multi-class classification on the confusion matrix. the shortcomings of rapid miner need to be added for more statistical processing such as non-parametric tests. Review collected by and hosted on G2.com.
Its graphical user interface enables users to perform complex data science tasks through simple drag-and-drop action Review collected by and hosted on G2.com.
Sometimes i experience slowdowns or freezing when handling large or complex datasets Review collected by and hosted on G2.com.
I used it educational and comercial platforms both for more than 2 years in my research. And, I loved it. It has several AI/ML built-in models to test and customise to analyse big data in tabular form having temporal and several other forms of data fields.
There are many evaluation and validation tools. The data can be viewed as pie, sun burst, bars, etc. Confusion Matrices are the best form of representation of results. Other statistical evaluation measures are also there as; mean squared error, log loss, etc. Review collected by and hosted on G2.com.
Visual representations are there but not as explainatory in terms of associations as we found in orange framework. Review collected by and hosted on G2.com.