#bayesianstats — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #bayesianstats, aggregated by home.social.
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"Five skills. Each one is counter-cyclical (becomes more valuable as hype recedes), resistant to LLM automation (requires human judgment that pattern-matching can’t replicate), and directly tied to the business outcomes executives actually pay for."
by Kaushik Rajan: https://towardsdatascience.com/the-ai-bubble-has-a-data-science-escape-hatch/#DataScience #BayesianStatistics #BayesianStats #Bayesian #causalInference #experimentalDesign #SPC #statisticalProcessControl
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"Five skills. Each one is counter-cyclical (becomes more valuable as hype recedes), resistant to LLM automation (requires human judgment that pattern-matching can’t replicate), and directly tied to the business outcomes executives actually pay for."
by Kaushik Rajan: https://towardsdatascience.com/the-ai-bubble-has-a-data-science-escape-hatch/#DataScience #BayesianStatistics #BayesianStats #Bayesian #causalInference #experimentalDesign #SPC #statisticalProcessControl
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"Five skills. Each one is counter-cyclical (becomes more valuable as hype recedes), resistant to LLM automation (requires human judgment that pattern-matching can’t replicate), and directly tied to the business outcomes executives actually pay for."
by Kaushik Rajan: https://towardsdatascience.com/the-ai-bubble-has-a-data-science-escape-hatch/#DataScience #BayesianStatistics #BayesianStats #Bayesian #causalInference #experimentalDesign #SPC #statisticalProcessControl
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"Five skills. Each one is counter-cyclical (becomes more valuable as hype recedes), resistant to LLM automation (requires human judgment that pattern-matching can’t replicate), and directly tied to the business outcomes executives actually pay for."
by Kaushik Rajan: https://towardsdatascience.com/the-ai-bubble-has-a-data-science-escape-hatch/#DataScience #BayesianStatistics #BayesianStats #Bayesian #causalInference #experimentalDesign #SPC #statisticalProcessControl
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"Five skills. Each one is counter-cyclical (becomes more valuable as hype recedes), resistant to LLM automation (requires human judgment that pattern-matching can’t replicate), and directly tied to the business outcomes executives actually pay for."
by Kaushik Rajan: https://towardsdatascience.com/the-ai-bubble-has-a-data-science-escape-hatch/#DataScience #BayesianStatistics #BayesianStats #Bayesian #causalInference #experimentalDesign #SPC #statisticalProcessControl
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🎩✨ Bayesian stats: the Hogwarts of math, where data scientists embark on an epic quest for clarity, only to find themselves lost in a fog of smugness and confusion. Frequentist wizards, beware! 🧙♂️🔮
https://nchagnet.pages.dev/blog/bayesian-statistics-for-confused-data-scientists/ #BayesianStats #DataScience #MathMagic #EpicQuest #FrequentistBeware #HackerNews #ngated -
Learning about PyMC makes me want to become a statistician.. super interesting way to think about data, but so much goes into building a good model! So many rabbit holes.
Bayesian modelling is clearly super powerful though and seems to offer some answers to some of the most intractable problems with black-box ML. A reliable model with known and understandable inputs is invaluable for certain use cases.
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Learning about PyMC makes me want to become a statistician.. super interesting way to think about data, but so much goes into building a good model! So many rabbit holes.
Bayesian modelling is clearly super powerful though and seems to offer some answers to some of the most intractable problems with black-box ML. A reliable model with known and understandable inputs is invaluable for certain use cases.
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Learning about PyMC makes me want to become a statistician.. super interesting way to think about data, but so much goes into building a good model! So many rabbit holes.
Bayesian modelling is clearly super powerful though and seems to offer some answers to some of the most intractable problems with black-box ML. A reliable model with known and understandable inputs is invaluable for certain use cases.
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Learning about PyMC makes me want to become a statistician.. super interesting way to think about data, but so much goes into building a good model! So many rabbit holes.
Bayesian modelling is clearly super powerful though and seems to offer some answers to some of the most intractable problems with black-box ML. A reliable model with known and understandable inputs is invaluable for certain use cases.
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Bae in the fast lane: Master Bayes Regression in just 20 minutes! 🚗📊
Join Patrick Ward and me in #TidyX Episode 171 for a speed run through rstanarm and Tidybayes, predicting car mileage based on weight 🛣️
Bit.ly/TidyX_Ep171
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Bae in the fast lane: Master Bayes Regression in just 20 minutes! 🚗📊
Join Patrick Ward and me in #TidyX Episode 171 for a speed run through rstanarm and Tidybayes, predicting car mileage based on weight 🛣️
Bit.ly/TidyX_Ep171
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Bae in the fast lane: Master Bayes Regression in just 20 minutes! 🚗📊
Join Patrick Ward and me in #TidyX Episode 171 for a speed run through rstanarm and Tidybayes, predicting car mileage based on weight 🛣️
Bit.ly/TidyX_Ep171
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Bae in the fast lane: Master Bayes Regression in just 20 minutes! 🚗📊
Join Patrick Ward and me in #TidyX Episode 171 for a speed run through rstanarm and Tidybayes, predicting car mileage based on weight 🛣️
Bit.ly/TidyX_Ep171
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Bae in the fast lane: Master Bayes Regression in just 20 minutes! 🚗📊
Join Patrick Ward and me in #TidyX Episode 171 for a speed run through rstanarm and Tidybayes, predicting car mileage based on weight 🛣️
Bit.ly/TidyX_Ep171