A space for data analytics & AI related technical resources and discussions.
Smart products can deliver many benefits - recurring revenue, data-driven product decisions, post-launch feature updates, new user experiences, and many more. However, developing the product technically and maintaining it can be challenging. SmartWorks IoT is a platform which smart product developers will love since it…
Hi! I want to filter my dataset based on a value in a certain attribute. I know how to filter based on attributes themselves, but am unsure how to use values as a filter. Also, I would really appreciate it if the answer could be posted with an explanation/screenshot of the process in RapidMiner instead of the code.
Hi! I want to count the number of times a certain value appears in an attribute and print it out for each value. I tried using the aggregate operator but I don't think it looks for and counts specific values. Also, I would really appreciate it if the answer could be posted with an explanation/screenshot of the actual…
Altair® SmartWorks™ IoT, a new platform, gives you and your software development team everything needed to quickly build scalable, secure web, mobile, and edge applications and then iterate fast to find product-market fit. See how SmartWorks IoT enables you reduce develop time, iterate faster, and ensure security and…
Data Modernization: From Gathering Dust to Gleaning Insight An Altair Data Analytics Spotlight Series Webinar | Live Q&A Thursday, July 22 - 11:00am EDT (New York) | 4:00pm BST (London) No data should be left behind! Don’t miss out on valuable insight due to non-conforming data. Bring your archaic, proprietary, and…
Discover how Altair Monarch automates the transformation of payroll data into usable, structured datasets to streamline reconciliation, reporting, and analysis. This short video walks you through the process.
This content as now been moved to the Monarch Success Plan page. The Monarch Success Plan includes the Monarch Essentials, as well as Content on Monarch Exercises, Quick Tips, and Monarch Demonstrations, with more to come.
In simple terms, Simpson’s Paradox occurs when a trend appears in subgroups but disappears or is reversed when subgroups are combined into a single dataset. Knowledge Studio supports detection of this statistical phenomenon. In this short overview video, you will see an example of how Simpson’s Paradox can manifest itself…
Most machine learning algorithms assume there are equal numbers of examples for each class in the source data. Many datasets contain substantially different numbers of records for important classes — resulting in an imbalanced class problem. Failure to handle this properly results in models with poor predictive…
In the context of machine learning applications, GLM models allows the use of dependent variables that do not follow normal distributions. This short overview video shows how easy it is to use Knowledge Studio’s GLM node to utilize this advanced statistical technique to build more accurate machine learning models.
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