Xpanse AI

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Xpanse AI

Xpanse AI

@XpanseAI

Automated Feature Engineering and Predictive Modelling

Ireland Bergabung Aralık 2017
250 Mengikuti88 Pengikut
Xpanse AI
Xpanse AI@XpanseAI·
@sama Ouh you “think you will” When? Let me guess - next year.
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Sam Altman
Sam Altman@sama·
very grateful to all the developers who spent time with us telling us what they wanted from an open-weights model. the feedback was useful and unexpected, but all doable. i think we will ship something extraordinary!
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Xpanse AI
Xpanse AI@XpanseAI·
"Machine learning doesn't apply to our industry" Have you ever thought that? Well...almost all industries can benefit from machine learning. ✔ Healthcare ✔ Finance ✔ Manufacturing ✔ Insurance ✔ Marketing ✔ Game Development #MachineLearning #ArtificialIntelligence
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Xpanse AI
Xpanse AI@XpanseAI·
When offering a free version of your software, how can you connect with the users who might be more likely to pay for more functionality? We cracked this nut for our client, Logmein You can read the full case study here bit.ly/3Ou5xvt #machinelearning #AI #xpanse
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Xpanse AI
Xpanse AI@XpanseAI·
Why rebrand? Undertaking an end-to-end overhaul was not something we did lightly. But ultimately we recognized how important it was. Here's our CEO Maciek's insight into why having a brand that matched our 2022 vision was so vitally important. #xpanse #rebrand #xpanse2022
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Xpanse AI
Xpanse AI@XpanseAI·
Key steps - and also typical failure points of Data Science projects. Exec Summary of the key steps of Data Science projects. Each step is also a failure point.
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Xpanse AI
Xpanse AI@XpanseAI·
Who is responsible for interpreting Data Science outputs and making decisions? Contrary to the hype - Data Science Models never tell us what will happen. Only what “might” happen. Watch the Exec Summary now: youtu.be/gPLCM0vme38
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Xpanse AI
Xpanse AI@XpanseAI·
What do flowers, COVID-19 and Customer Churn have in common? We explain the number 1 reason for Data Science failing using real-world examples. youtube.com/watch?v=2AKjtV…
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Xpanse AI
Xpanse AI@XpanseAI·
Want to hear about the #1 reason for Data Science failing in the Business environments? The Exec Summary in the short video below. (The Full Version of this topic with more details in a few days.)
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