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Jun 15, 2023 / Join Jennifer Fraser and Akendi's Scott Plewes at 9am EST to push the boundaries of Quant and QualUX. We all know the expression “garbage in, garbage out”. But how do you systematically and rigorously avoid the garbage in? While we don't know the universal answer to that, we have identified 3 common areas where QuantUX might be at risk of getting off on the wrong foot, and where a little QualUX, and some systems thinking, could work with QuantUX to avoid the problem: 1. One of these things is not like the other: Combining distinct sets (and we don't mean from different databases); we mean sets like from your second year probability course (reinforcing the model you have eg: medical data sets based on men being applied to women ie: sports helmets; ADHD) 2. Sorry, that's not my table: Data generated for one process, used to evaluate a different process (or system) 3. Uh, over here, you forgot about me!: Ignoring contextual data in building your math or stats model We'll go through these situations with examples, and show you how to avoid these trap, making sure all that math will be worth it!Read more
When ChatGPT was introduced to the public it took just 5 days to amass over a million users, making it the fastest-growing consumer application of all time. As requests for jokes, storytelling, and...
When ChatGPT was introduced to the public it took just 5 days to amass over a million users, making it the fastest-growing consumer application of all time. As requests for jokes, storytelling, and prose showcased its impressive ability for generating natural language, users quickly...