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#pml — Public Fediverse posts

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

  1. "Probabilistic Machine Learning", Murphy (2012, 2022, 2023)

    MIT licensed PDF drafts published by the author are at github.com/probml/pml-book.

    As the #PML name suggests, these books present #ML from the #probabilistic perspective—that is, ML presented the right way.

    The 2022 and 2023 books (An Introduction and Advanced Topics) are the updated, expanded version of the original 2012 book. The new books provide a comprehensive coverage of ML as it was, circa 2021.

    These books are not only comprehensive in the coverage of ML, they are also self-contained in that they provide all requisite mathematical background, without slapping the reader across the face with fine turns of phrases. They are written in an authentic, genuine, heartfelt style, a bit of a rarity amongst AI/ML publications, today. They are, in my view, the most effective self-study guides for upper-level undergraduate students, beginning graduate students, and experienced IT practitioners who aims to study the concepts in depth—they who are dissatisfied with just making shallow API calls.

    The older book uses MATLAB, and the newer ones use Python. Naturally! But using probabilistic DSLs—Figaro, Church, Anglican, WebPPL, etc.—with these books maybe even more effective.

  2. "Probabilistic Machine Learning", Murphy (2012, 2022, 2023)

    MIT licensed PDF drafts published by the author are at github.com/probml/pml-book.

    As the #PML name suggests, these books present #ML from the #probabilistic perspective—that is, ML presented the right way.

    The 2022 and 2023 books (An Introduction and Advanced Topics) are the updated, expanded version of the original 2012 book. The new books provide a comprehensive coverage of ML as it was, circa 2021.

    These books are not only comprehensive in the coverage of ML, they are also self-contained in that they provide all requisite mathematical background, without slapping the reader across the face with fine turns of phrases. They are written in an authentic, genuine, heartfelt style, a bit of a rarity amongst AI/ML publications, today. They are, in my view, the most effective self-study guides for upper-level undergraduate students, beginning graduate students, and experienced IT practitioners who aims to study the concepts in depth—they who are dissatisfied with just making shallow API calls.

    The older book uses MATLAB, and the newer ones use Python. Naturally! But using probabilistic DSLs—Figaro, Church, Anglican, WebPPL, etc.—with these books maybe even more effective.

  3. "Probabilistic Machine Learning", Murphy (2012, 2022, 2023)

    MIT licensed PDF drafts published by the author are at github.com/probml/pml-book.

    As the #PML name suggests, these books present #ML from the #probabilistic perspective—that is, ML presented the right way.

    The 2022 and 2023 books (An Introduction and Advanced Topics) are the updated, expanded version of the original 2012 book. The new books provide a comprehensive coverage of ML as it was, circa 2021.

    These books are not only comprehensive in the coverage of ML, they are also self-contained in that they provide all requisite mathematical background, without slapping the reader across the face with fine turns of phrases. They are written in an authentic, genuine, heartfelt style, a bit of a rarity amongst AI/ML publications, today. They are, in my view, the most effective self-study guides for upper-level undergraduate students, beginning graduate students, and experienced IT practitioners who aims to study the concepts in depth—they who are dissatisfied with just making shallow API calls.

    The older book uses MATLAB, and the newer ones use Python. Naturally! But using probabilistic DSLs—Figaro, Church, Anglican, WebPPL, etc.—with these books maybe even more effective.

  4. "Probabilistic Machine Learning", Murphy (2012, 2022, 2023)

    MIT licensed PDF drafts published by the author are at github.com/probml/pml-book.

    As the #PML name suggests, these books present #ML from the #probabilistic perspective—that is, ML presented the right way.

    The 2022 and 2023 books (An Introduction and Advanced Topics) are the updated, expanded version of the original 2012 book. The new books provide a comprehensive coverage of ML as it was, circa 2021.

    These books are not only comprehensive in the coverage of ML, they are also self-contained in that they provide all requisite mathematical background, without slapping the reader across the face with fine turns of phrases. They are written in an authentic, genuine, heartfelt style, a bit of a rarity amongst AI/ML publications, today. They are, in my view, the most effective self-study guides for upper-level undergraduate students, beginning graduate students, and experienced IT practitioners who aims to study the concepts in depth—they who are dissatisfied with just making shallow API calls.

    The older book uses MATLAB, and the newer ones use Python. Naturally! But using probabilistic DSLs—Figaro, Church, Anglican, WebPPL, etc.—with these books maybe even more effective.

  5. "Probabilistic Machine Learning", Murphy (2012, 2022, 2023)

    MIT licensed PDF drafts published by the author are at github.com/probml/pml-book.

    As the #PML name suggests, these books present #ML from the #probabilistic perspective—that is, ML presented the right way.

    The 2022 and 2023 books (An Introduction and Advanced Topics) are the updated, expanded version of the original 2012 book. The new books provide a comprehensive coverage of ML as it was, circa 2021.

    These books are not only comprehensive in the coverage of ML, they are also self-contained in that they provide all requisite mathematical background, without slapping the reader across the face with fine turns of phrases. They are written in an authentic, genuine, heartfelt style, a bit of a rarity amongst AI/ML publications, today. They are, in my view, the most effective self-study guides for upper-level undergraduate students, beginning graduate students, and experienced IT practitioners who aims to study the concepts in depth—they who are dissatisfied with just making shallow API calls.

    The older book uses MATLAB, and the newer ones use Python. Naturally! But using probabilistic DSLs—Figaro, Church, Anglican, WebPPL, etc.—with these books maybe even more effective.

  6. Help ! Est-ce que vous parvenez à accéder au catalogue de la Pierpont Morgan Library, Corsair : corsair.themorgan.org/

    J'ai une erreur 403 à chaque fois que j'essaie...😭

    Merci

    #Catalogue #PML #PierpontMorganLibrary #manuscrit #manuscript #livres #books #recherche #enluminures #NewYork

  7. L'examen de la loi PML, voulue par Bayrou pour modifier le scrutin municipal de Paris, Lyon et Marseille a été déplacé en avril, ce qui équivaut à "le tuer", selon une source parlementaire. "Le timing n'est pas bon, c'est un bâton merdeux", confirme un soutien du Béarnais, citant la menace russe. "La politique, c'est comme l'andouillette, ça doit sentir un peu la merde, mais pas trop", disait Édouard Herriot

    #Politique #Bayrou #Gouvernement #PML #Municipales #Election #DirectAN

  8. #PML at the realisation that we've confused a non-native-English speaking colleague by not always using the 'Bay' suffix when referring to Morecambe Bay which has had them think the area was called and thus pronounced as Morecambé. #lancashire

  9. How does #chromatin reader #TRIM33 control #developmental #cellfate decisions?

    Qiaoran Xi Lab at Tsinghua University finds that its embryonic #stemcell-specific recruitment into #PML #nuclearbodies regulates #Lefty1/2 expression upon #Nodal signaling

    embopress.org/doi/10.15252/emb

  10. How does #chromatin reader #TRIM33 control #developmental #cellfate decisions?

    Qiaoran Xi Lab at Tsinghua University finds that its embryonic #stemcell-specific recruitment into #PML #nuclearbodies regulates #Lefty1/2 expression upon #Nodal signaling

    embopress.org/doi/10.15252/emb

  11. How does #chromatin reader #TRIM33 control #developmental #cellfate decisions?

    Qiaoran Xi Lab at Tsinghua University finds that its embryonic #stemcell-specific recruitment into #PML #nuclearbodies regulates #Lefty1/2 expression upon #Nodal signaling

    embopress.org/doi/10.15252/emb

  12. How does #chromatin reader #TRIM33 control #developmental #cellfate decisions?

    Qiaoran Xi Lab at Tsinghua University finds that its embryonic #stemcell-specific recruitment into #PML #nuclearbodies regulates #Lefty1/2 expression upon #Nodal signaling

    embopress.org/doi/10.15252/emb

  13. Speech Intervention for Children With Cleft Palate Using Principles of Motor Learning (#PML)

    This Phase I study shows that articulatory kinematic speech intervention that applies the PML is effective in improving the speech outcomes for children with #CleftPalate and that there is validity in pursuing further research into this approach.
    pubs.asha.org/doi/10.1044/2022

    @slp_slt @slpfedi
    @wespeechies
    #SLP_SLT