Thinking about making a data-driven transformation? This study conducted by Forrester Consulting outlines how organizations are achieving success & planning for the future, so you can make the best decisions.
Getting a machine learning project off the ground is hard. How do you build a solid project foundation from the very start? Download the whitepaper.
How do you present a machine learning model to leadership in a way that clearly explains what you did? Here are 5 key questions to consider.
Machine learning has changed manufacturing forever, and for the better. Here are some of the ways ML will continue to revolutionize the industry in 2021 and beyond.
Get a complimentary copy of the 2020 Forrester Wave: Multimodal Predictive Analytics And Machine Learning Solutions
Here are some applications of data science that we’ve seen drive success across organizations with specific examples for you to pull inspiration from.
Learn the unique impact that data science is having in manufacturing, and better understand how industry leaders are thinking about their initiatives.
Learn what bias is in the world of machine learning. We’ll look at three main things someone might mean when they refer to a biased model—real-world bias, sampling bias, and model bias.
Our Academy offers free online training and courses to leverage throughout your data science journey. Learn more about what it is, why we made it, and how you can use it.
Our new Open Platform Communication-Unified Architecture (OPC-UA) Connector Extension allows analysts and data scientists to tap into this vast pool of industrial plant data. Read more.
Automation is disrupting and displacing old models of production and permanently changing manufacturing. Let’s uncover how we got here and what this new technology means for manufacturers.
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.
Brandon Shockley of 160over90 describes the agency’s data-mining journey, from early prototypes to actionable consumer insights.
Jeremy Osinski and Todd Marlin of Ernst and Young discuss how machine learning can help understand and predict employees’ and stakeholders’ intentions.
Brian Meagher of Shorelight Education talks about how Shorelight has used data science to help fuel growth and help students succeed.
Why is RapidMiner ranked so well among data science and machine learning platforms? Find out what your peers are saying in this Gartner report.
Thinking about making a data-driven transformation? This study conducted by Forrester Consulting outlines how organizations are achieving success & planning for the future, so you can make the best decisions.
Machine learning models that have such potential to impact your business can also be hard to explain. Here’s how to understand model explainability and build trust in data science.
In this whitepaper, we discuss how the RapidMiner Platform complies with security standards – providing authentication, authorization, accountability, and data encryption.
Amidst Industry 4.0, manufacturers are embracing machine learning to drive new levels of innovation. Before you implement an ML solution, here’s how to ensure you’re making the right business decision.
Learn more about data-driven process optimization for the beverage industry from Martin Schmitz’s presentation at The DATAcated Conference 2021.
Watch this on-demand webinar to see how RapidMiner and Tableau can change the way you think about creating and visualizing the future.
What’s new in RapidMiner 9.9? Watch this on-demand webinar to learn how we’re making it easier to package and deploy Python code at the edge.
Watch this on-demand webinar to learn the key roles, tools and collaborative best practices for a successful, AI-driven digital transformation.
Scott Genzer developed a technique for using free online facial recognition tools to identify people in photographs. See how it’s applied to historical photos of the Jewish community and beyond.
What exactly do data scientists do? Watch this interview with Scott Genzer, a Data Scientist at RapidMiner, to find out all of the details.
As a digital manufacturer, are you responding properly to the opportunities and pressures presented by the Industry 4.0 Revolution? Follow this roadmap.
There’s an epidemic that’s preventing models from making it into deployment where they can actually have an impact. RapidMiner illustrates this epidemic.
Take advantage of our completely free learning platform, providing all the content you need to develop and amend your machine learning and data science skills.
What is active learning in machine learning? Active learning is a form of semi-supervised machine learning that facilitates faster algorithm training by proactively identifying high-value
Learn the difference between traditional business intelligence (BI) and the modern approach of advanced analytics.
What is anomaly detection? In data science, anomaly detection is the process of identifying events and observations that deviate from a dataset’s usual pattern. As
Artificial intelligence is changing our world in more ways than we can see or even imagine. But there’s a lot of fiction about the fact of AI. This article explains everything you need to know about AI, what it really does and why it matters.
Automated machine learning holds the key to democratizing data science. Learn how to gain valuable insights that will drive innovation with Auto ML.
Data mining tools are used to uncover patterns inside large sets of data to predict future outcomes. Learn more about data mining with RapidMiner.
Are you wondering what relevance data preparation has to your company or organization? Here’s what you don’t know about data prep and how it can help you.
Data science is helping us change our world in ways we never even knew. Do you know how it works and why it’s important? Read this article to find out.
What is edge computing? Edge computing has been gaining popularity in enterprise tech—especially in the manufacturing, utility, and shipping industries—and you may be wondering if it’s
What is ensemble learning? Ensemble learning is a method for improving predictive performance by combining different machine learning models—much as you might blend different instruments and voices
Are you wondering what machine learning (ML) is and how it can help your business? This article tells you all about it and how it works.
