RapidMiner Blog

Why Your Models Need Maintenance

Learn about two phenomena: change of concept and drift of concept which demonstrate why models can’t just be put into deployment forever.

6 Trends Causing the Model Impact Epidemic

Organizations are struggling to deliver the promised benefits of data science. We call this the ‘model impact epidemic’ and this post examines the macro trends that allow the epidemic to spread freely.

RapidMiner and Enterprise Authentication

RapidMiner Server and Studio can now use the SAML protocol to interact with any identity provider, and incorporate RapidMiner users to the general user management of the company.

RapidMiner Wisdom 18 Recap – Day Two

Here’s a recap of the presentations from the second day of Wisdom 2018 in New Orleans. Wisdom is RapidMiner’s conference for users.

RapidMiner Wisdom 18 Recap – Day One

Here’s a recap of the presentations from the first day of Wisdom 2018 in New Orleans. Wisdom is RapidMiner’s conference for users.

Doc Ingo, what model should I use?

One of the most frequent questions I get asked is: “Ingo, I am from Industry X and my data looks like Y and my colleague recommended to use model Z – what is your opinion on what model to use?” In this blog post, I explain a well-proven framework for model selection.

Introducing RapidMiner Real-Time Scoring

RapidMiner’s Real-Time Scoring Agent extends Server with a lightweight execution engine designed for specific use cases where speed and volume are critical.

Announcing a Free Trial for Everyone

Today RapidMiner announced that we’re giving everyone a 30-day trial of Studio Large. Everyone will automatically receive the 30-day trial license.

Accelerated Modeling without the Black Box

RapidMiner Auto Model automates machine learning and accelerates Data Science, making the platform more accessible to new users and more powerful for expert Data Scientists.

Where to Find RapidMiner Reviews

Want to gain a better understanding of the data science and machine learning platforms market? Check out these review platforms reviews about RapidMiner.

Ten Tips to Master RapidMiner Studio

We’ve compiled the top ten most useful tips and tricks from our data science team to help you master our RapidMiner Studio.

What is Data Science?

What is data science? Have you read about the relationship between AI, machine learning, and deep learning? How do they relate to data science ?

Borrow Community Processes!

People often borrow ideas and apply them their situations. Start borrowing some great processes and use them for your own use case.

Happy Holidays from RapidMiner!

Happy Holidays from RapidMiner. We would like to thank you for loving RapidMiner and supporting us on every step of this journey.

The Data Core Project

We kicked-off a special-purpose project, named the Data Core Project, to revise the core data management and processing core of RapidMiner.

Tips & Tricks: Leveraging RapidMiner Server

In this post we’re going to continue with this theme but focus on authorizing groups and showcasing some of the native Web App (Dashboarding) capabilities.

Tips & Tricks: Using RapidMiner Server

Learn how to use RapidMiner Server to operationalize fraud models, push results to your BI engine, and seamlessly integrate machine learning in your company

Tips & Tricks: Get Wisdom of Crowds

Similar to Amazon recommendations, RapidMiner shows you which operator other data scientists would use next if they were building your process.

Fostering a Spirit of Community

At Wisdom New York in February I was struck by the strong community feel in the room. Academics and customers sharing their time and knowledge.

Data Science is the new Computer Science

Data science is the new computer science.The practical applications are clearer than ever. I came across articles that illustrate the impact of data science

The RapidMiner Philosophy

You see, things move very fast at RapidMiner. In the past few months we’ve hired 30 new people.  And they all have a perspective on “who is RapidMiner.” 

Everyday Data Science with Thomas Ott

Building on the same processes from the Political Sentiment model, we redeploy them but update the Twitter Search terms for #Boston2024.

Wisdom of Crowds: The Guiding Light

There are more than 250,000 RapidMiner users worldwide, brilliant minds who have had tasks similar to yours – building some analytical process.

5 Minutes With Ingo: Back To The Future

Ingo Mierswa, tells us that he doesn’t care about the past. That’s the realm of BI & reporting. He cares about the future – predictive analytics!

RapidMiner Acquires Radoop

Radoop, a leading big data analytics solution, makes Hadoop implementations more powerful and easy to use with RapidMiner’s advanced analytics suite.

Thanks RapidMiner Community…

We believe that our placement in the Leaders quadrant reflects our status as one of the world’s most frequently downloaded predictive analytics tools.

RapidMiner Recommends Reading in 2014!

There is no better way to understand and learn more about predictive analytics and RapidMiner than by reading! We’ve compiled a list of our favorites.

The core of RapidMiner is open source

With the news of Rapid-I now being RapidMiner we thought it would be helpful to reiterate that the core of RapidMiner stays open source. 

Books on Data Mining

The Rapid-I team keeps on mining and we excavated two great books for our users. The first one, Data Mining for the Masses by Matthew North.

Solving Sudokus with RapidMiner

This year’s RCOMM live data mining challenge, “Who wants to be a data miner?”, to (partially) solve a Sudoku puzzle with RapidMiner.

New Plotters for RapidMiner

The team is proud to announce the birth of a brand new plot component presenting you a powerful and flexible visualization of your data & process results.

Regular Expression Madness

I just stumbled upon this great blog post about some uncommon uses of regular expressions. RapidMiner also makes a lot use of those beasts.

Extended Operations for Nominal Values

One of the next versions of RapidMiner (5.0.011 or the upcoming version 5.1) will provide a nice extension of the expression parser which is for example used for the operator “Generate Attributes”.