Not known Details About machine learning conferences
Not known Details About machine learning conferences
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Description: AI Expo Asia could be the region’s main convention and exhibition focused on artificial intelligence and its applications throughout industries.
During this presentation, we describe A variety of techniques for building probabilistic estimates or predictions of individual race and/or ethnicity. We'll demonstrate how to use some of these strategies to a simulated dataset As an example the way to use them in practice.
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This consists of setting several enterprise inputs, which might be topic to alter, and transferring the decision threshold to estimate the probable deployed price.
If we’re lacking some fantastic gatherings, make sure you allow us to know (our Discord is the greatest place to get it done). We’ll update this write-up at the least as soon as for each quarter.
We'll describe how we keep track of the effects for accuracy And exactly how we regulate improvements over time. We'll clearly show how this method is area agnostic and simply repeatable.
Get during the Digital classroom for live training classes on nowadays’s most popular technologies—often because of the individuals who had a hand in generating them. Hit them up with concerns alongside the best way. Class sizes are restricted to hold get more info the learning far more private.
We're going to examine enterprise context and significant-level product architecture of a hyper-personalization framework within the presentation.
Machine Learning Prague is one of Europe’s greatest conferences for AI and machine learning fanatics. It functions pro-led workshops and talks, covering the most recent developments and simple programs in AI.
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Ever wished some seriously useful guidelines and tricks on how to make Machine Learning give you the results you want? Perhaps rather less code in addition to a bit extra nuts and bolts? Maybe even some insider insights from the occupation spanning Just about four decades?
Nonetheless, a lack of reliable information selection is often a significant barrier on the research of disproportionate impacts and equity across race/ethnicity cohorts in various contexts.
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