A New Python Operator Framework
RapidMiner’s own Head of Data Science Martin Schmitz gives an overview of the new Python Operating Framework in this presentation.
Wisdom 2020 Presentations
AI for Anyone: The RapidMiner vision that puts people at the center of artificial intelligence
This presentation shows the latest advances in RapidMiner that will make it even easier for teams to work together towards the same goal with AI and ML.
An Examination of the NFL Quarterback’s Success: Are athletic intangibles a reliable indicator of success?
Heatherly Carlson explores the relationship between the player intangibles and whether they have ever taken their team to a playoff game.
Better Together: RapidMiner and Tableau
This session is a demonstration of the RapidMiner-Tableau Integration component developed by Bhupendra Patil of RapidMiner for classification and association mining.
Bridging the Gap: Measuring & enhancing integrity with data science
Jeremy Osinski and Todd Marlin of Ernst and Young discuss how machine learning can help understand and predict employees’ and stakeholders’ intentions.
Call Volume Forecast Using RapidMiner
Michael Stansky of FirstEnergy demonstrates how to use RapidMiner to forecast customer contact center call volume using historical all volume and considering call volume drivers.
Clustering as Part of the Data Science Methodology
In this two-part presentation, Lionel demonstrates how to use clustering for preprocessing and how to use clustering for semi-supervised learning.
Data Mining for the Masses 4th Edition eBook Demo
This presentation reviews the latest enhancements to the book, now published in its fourth edition as an interactive, smart textbook on the MyEducator platform.
Data Science for Cybersecurity: Identifying and mitigating threats with RapidMiner
In this demonstration, Rodrigo explains a proof of concept architecture used to score HTTP requests, detect attackers and block them using RapidMiner Real-Time Scoring.
Deepfake is for Losers (and other secret confessions of a data scientist)
Dr. Mierswa presents a manifesto for data science, a set of basic principles designed to guide our work and make sure that our models have the desired impact.
Enhancing Quality Control & Transforming Industry 4.0 with AI & IoT
Muddasir Hassan of Anblicks discusses using artificial intelligence and IoT technology to speed up the fault detection process and predict defects faster.
Finding the Story: How a global creative agency tapped into data science
Brandon Shockley of 160over90 describes the agency’s data-mining journey, from early prototypes to actionable consumer insights.
FutureBright Analytics: How an international education company uses analytics to power growth and student success at scale
Brian Meagher of Shorelight Education talks about how Shorelight has used data science to help fuel growth and help students succeed.
Getting Data Science Projects Over the Finish Line
This panel brings together different perspectives to discuss how they can best work collaboratively to ensure data science projects have the desired impact.
New Tools from RapidMiner Labs
In this presentation, Gisa demonstrates her brand new extension that creates a code-free method of taking a process and wrapping it into an extension.
Overcoming the computational demand of time series: Scaling R-based demand forecasting with RapidMiner
Ryan Frederick of Dominos talks about how his data science team worked through a complex time series forecasting exercise and scaled R-based time models.
Post “One-Size-Fits-All” Healthcare: Welcome to the new era of personalized medicine
This presentation discusses the current position of RapidMiner as a tool for personalized medicine and the new era of personalized medicine, genomics, etc.
Teaching Rapidly: Using RapidMiner in education
In this session, Tamilla Triantoro presents how she adopted RapidMiner for teaching machine learning concepts, including topics and techniques she covered in class, student feedback, and the support she received from RapidMiner unicorns.
The Web App Builder Extension: A new way of deploying machine learning projects using web apps
This presentation demonstrates a new extension that adds the ability for data scientists to make their projects as easily understood as possible.
Using RapidMiner to Support Capital & Maintenance Decision Making for Linear and Networked Assets
This session outlines how to use RapidMiner to support investment & maintenance decision-making for linear and networked assets such as pipelines, roads, electric transmission lines, water distribution systems, etc.
Using the full RapidMiner Platform to Improve Sales & Marketing for the Customer Journey
Elise Watson of Clarkston Consulting shows how to use RapidMiner to enhance the health care professional’s journey.
We Need Smarter Bots: The rapid evolution of the automation ecosystem
Mahesh Vinayagam of qBotica discusses the changing landscape of the automation ecosystem, and how enterprises can best use these changes to increase efficiency.