Rapidminer for data Competition and academic

SpyderMan
SpyderMan New Altair Community Member
edited November 5 in Community Q&A
Rapidminer is a very fascinating tools,
However,regrettable, the popolarity is not high in China. I seldom see it is used in some data competition or academicpaper.
I'm a newbie want to learn from data competition.
The quesiton I want to know is wheter rapidminer is a good tool for data competition like Kaggle  and academic goals.
Tagged:

Best Answer

Answers

  • DocMusher
    DocMusher New Altair Community Member
    Answer ✓
    Hi, RapidMiner is used in science more than you realise. Take a look at

    https://www.ncbi.nlm.nih.gov/pubmed/?term=RapidMiner

    https://scholar.google.be/scholar?hl=nl&as_sdt=0%2C5&q=RapidMiner&btnG=

    New extensions such as Auto Model are very promising for the use in research because its fast, visually directly providing results and as user interface without any similar tools to compare, in other words unique.

    https://www.youtube.com/watch?v=OwU_pPLLOpA

    As you know RM has a huge scientific community of people in development but also in the academic world.
    Cheers
    Sven










  • varunm1
    varunm1 New Altair Community Member
    Hello @SpyderMan

    I am tempted to respond to this post just based on your name  ;) as Docmusher covered many concepts here. 

    Rapidminer is emerging and its emerging quickly in data science markets. As an individual from Academia, I can say that it has a huge potential with some great people developing it on a daily basis. 

    The biggest advantage with RM is it helps to learn concepts quickly, when I started datascience its really challenging for me to code and my major focus is on understanding coding (i am not from CS)  rather than concepts, I just followed some python codes online and developed models and sometimes I dont know what is the exact use of some modules. But when I started using RM my focus is more on concepts how can I make a better feature selection, build better models and understand my predictions. This helped me to learn quickly. One more thing is building models is fast in rapidminer, i can build a model in seconds which sometimes take hours in python to code and debug. I still use python mostly using scripting operator in RM and anaconda.

    I also had multiple publications with it and working on several others. I didn''t have a chance to work with kaggle data as we collect huge amounts of data for our research. I think you can use for challenges unless they have any requirement.

    Finally, this is the best community where you get answers and insights for your questions in no time and you can improve your knowledge a lot. Also, the videos on rapidminer academy are crisp and easy to understand.

    They also have the best educational license.

    Hope this helps.

Categories