This may not be a problem for people with a higher spec machine. This may be because the application is running on Java (VM). This may be a problem limited to my own machine.Īside from this I found that the application seems to hog my computers memory and cpu resources. What I found to be very inconvenient is that the application crashes at times. Excellent platform for those new to AI and for experienced pros is still very useful and easy to use. And finally, RapidMiner Studio has a community of data scientists that can help you when you have a question. Tutorial videos as well as blogs are available on their website. Each of the processes has their description, input, output, and parameters well described.
#RAPIDMINER STUDIO REVIEWS UPDATE#
One of the difficulties when dealing with code is tweaking the parameters of these models but because of the visual interface, you could simply click on the process and update this. RapidMiner Studio also has most of the machine learning models used in the academe and the industry. Data preparation to the final output and visualization is as simple as dragging blocks of your workflow into a canvas and connecting them altogether. This is because RapidMiner features are drag and drop visual interface which makes all the difference. However, this is now a thing of the past because of RapidMiner Studio. This can be a time consuming problem, especially for those who are not adept at programming. This is on top of having to analyze and learn complex algorithms needed for the task. One of the daunting requirements for data scientists and data storytellers is learning a programming language such as matlab and python and writing code for their tasks. Its well documented functions and strong community addresses what ever questions I had with the processes. RapidMiner Studio offers the user a space to generate ETL projects with added features such as Machine Learning modules. It is a great tool for students and people without a strong programming background. It also allowed me to conveniently address my workflow without having to write code. It allowed me to rapidly try out different machine learning models and compare each result with one another. Comentarios: Overall my experience with using RapidMiner was great.
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