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#bayes — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #bayes, aggregated by home.social.

  1. How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

  2. How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

  3. How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

  4. How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

  5. How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

  6. Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

  7. Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

  8. Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

  9. Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

  10. Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

  11. Cell migration is fundamental to many biological processes (cancer metastasis, cellular immunity, development, ...). Here we introduce a new computational method & free tool to evaluate high-throughput cell migration assays.
    #cancer #cellmigration #Bayes #quantitativebiology
    doi.org/10.1371/journal.pcbi.1

  12. Cell migration is fundamental to many biological processes (cancer metastasis, cellular immunity, development, ...). Here we introduce a new computational method & free tool to evaluate high-throughput cell migration assays.
    #cancer #cellmigration #Bayes #quantitativebiology
    doi.org/10.1371/journal.pcbi.1

  13. Cell migration is fundamental to many biological processes (cancer metastasis, cellular immunity, development, ...). Here we introduce a new computational method & free tool to evaluate high-throughput cell migration assays.
    #cancer #cellmigration #Bayes #quantitativebiology
    doi.org/10.1371/journal.pcbi.1

  14. Cell migration is fundamental to many biological processes (cancer metastasis, cellular immunity, development, ...). Here we introduce a new computational method & free tool to evaluate high-throughput cell migration assays.
    #cancer #cellmigration #Bayes #quantitativebiology
    doi.org/10.1371/journal.pcbi.1

  15. Cell migration is fundamental to many biological processes (cancer metastasis, cellular immunity, development, ...). Here we introduce a new computational method & free tool to evaluate high-throughput cell migration assays.
    #cancer #cellmigration #Bayes #quantitativebiology
    doi.org/10.1371/journal.pcbi.1

  16. How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

  17. How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

  18. How a computer reads text - from counting words to vectors

    From tokenization through TF-IDF and Markov chains, to Word2Vec. How a computer turns text into numb...

    gruszka.dev/en/how-computer-re
    #llm #ai #nlp #tokenization #word2vec #embeddings #tfidf #markov #bayes #languagemodels

  19. Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

  20. Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

  21. Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

  22. Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

  23. Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

  24. Alright, future engineers!
    **Conditional Probability:** P(A|B) is the prob of event A, given event B has already happened.
    Ex: P(A|B) = P(A & B) / P(B). Think: Prob of engine failure *given* low oil pressure.
    Pro-Tip: Essential for Bayesian inference & diagnostics!
    #Probability #Bayes #STEM #StudyNotes

  25. Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

  26. Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

  27. Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

  28. Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

  29. Jak komputer czyta tekst - od liczenia słów do wektorów

    Od tokenizacji przez TF-IDF i łańcuchy Markowa, aż po Word2Vec. Jak komputer zamienia tekst w liczby...

    gruszka.dev/jak-komputer-czyta
    #llm #ai #nlp #tokenizacja #word2vec #embeddings #tfidf #markow #bayes #languagemodels

  30. I like nonconformists, except in my chains. WTF is happening to the gold one?! #bayes #MCMC

  31. I like nonconformists, except in my chains. WTF is happening to the gold one?! #bayes #MCMC

  32. I like nonconformists, except in my chains. WTF is happening to the gold one?! #bayes #MCMC

  33. I like nonconformists, except in my chains. WTF is happening to the gold one?! #bayes #MCMC

  34. I like nonconformists, except in my chains. WTF is happening to the gold one?! #bayes #MCMC

  35. Hehehehe, we got another reviewer confused by our use of a 89% credible interval.
    Cue the beauty of prime numbers! And it is my co-author's birth year, I am so happy that I can put this in the answer 😅!

    #bayesian #academicchatter #bayes @rlmcelreath

  36. Hehehehe, we got another reviewer confused by our use of a 89% credible interval.
    Cue the beauty of prime numbers! And it is my co-author's birth year, I am so happy that I can put this in the answer 😅!

    #bayesian #academicchatter #bayes @rlmcelreath

  37. Hehehehe, we got another reviewer confused by our use of a 89% credible interval.
    Cue the beauty of prime numbers! And it is my co-author's birth year, I am so happy that I can put this in the answer 😅!

    #bayesian #academicchatter #bayes @rlmcelreath

  38. Hehehehe, we got another reviewer confused by our use of a 89% credible interval.
    Cue the beauty of prime numbers! And it is my co-author's birth year, I am so happy that I can put this in the answer 😅!

    #bayesian #academicchatter #bayes @rlmcelreath

  39. Hehehehe, we got another reviewer confused by our use of a 89% credible interval.
    Cue the beauty of prime numbers! And it is my co-author's birth year, I am so happy that I can put this in the answer 😅!

    #bayesian #academicchatter #bayes @rlmcelreath

  40. Returning to Bayesian computation now after some time away, I was delighted to see active work on JAGS 5.0!
    sourceforge.net/projects/mcmc-
    #Bayes #JAGS

  41. Returning to Bayesian computation now after some time away, I was delighted to see active work on JAGS 5.0!
    sourceforge.net/projects/mcmc-
    #Bayes #JAGS