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#matrices — Public Fediverse posts

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

  1. Alright, future engineers!

    The **Determinant** of a square matrix is a scalar value that tells you if the matrix is invertible.
    Ex: For `[[a,b],[c,d]]`, `det = ad - bc`.
    Pro-Tip: If `det = 0`, the matrix is singular (no inverse), meaning `Ax=b` has no unique solution!

    #LinearAlgebra #Matrices #STEM #StudyNotes

  2. Alright, future engineers!

    The **Determinant** of a square matrix is a scalar value that tells you if the matrix is invertible.
    Ex: For `[[a,b],[c,d]]`, `det = ad - bc`.
    Pro-Tip: If `det = 0`, the matrix is singular (no inverse), meaning `Ax=b` has no unique solution!

    #LinearAlgebra #Matrices #STEM #StudyNotes

  3. Alright, future engineers!

    The **Determinant** of a square matrix is a scalar value that tells you if the matrix is invertible.
    Ex: For `[[a,b],[c,d]]`, `det = ad - bc`.
    Pro-Tip: If `det = 0`, the matrix is singular (no inverse), meaning `Ax=b` has no unique solution!

    #LinearAlgebra #Matrices #STEM #StudyNotes

  4. Alright, future engineers!

    The **Determinant** of a square matrix is a scalar value that tells you if the matrix is invertible.
    Ex: For `[[a,b],[c,d]]`, `det = ad - bc`.
    Pro-Tip: If `det = 0`, the matrix is singular (no inverse), meaning `Ax=b` has no unique solution!

    #LinearAlgebra #Matrices #STEM #StudyNotes

  5. Alright, future engineers!

    The **Determinant** of a square matrix is a scalar value that tells you if the matrix is invertible.
    Ex: For `[[a,b],[c,d]]`, `det = ad - bc`.
    Pro-Tip: If `det = 0`, the matrix is singular (no inverse), meaning `Ax=b` has no unique solution!

    #LinearAlgebra #Matrices #STEM #StudyNotes

  6. Alright, future engineers!
    **Matrix multiplication** combines two matrices, forming a new one where elements are dot products of rows & columns.
    Ex: `(AB)_ij = sum(A_ik * B_kj)`. Inner dimensions must match!
    Pro-Tip: It's NOT commutative (AB != BA)!
    #Matrices #LinearAlgebra #STEM #StudyNotes

  7. Alright, future engineers!
    **Matrix multiplication** combines two matrices, forming a new one where elements are dot products of rows & columns.
    Ex: `(AB)_ij = sum(A_ik * B_kj)`. Inner dimensions must match!
    Pro-Tip: It's NOT commutative (AB != BA)!
    #Matrices #LinearAlgebra #STEM #StudyNotes

  8. Alright, future engineers!
    **Matrix multiplication** combines two matrices, forming a new one where elements are dot products of rows & columns.
    Ex: `(AB)_ij = sum(A_ik * B_kj)`. Inner dimensions must match!
    Pro-Tip: It's NOT commutative (AB != BA)!
    #Matrices #LinearAlgebra #STEM #StudyNotes

  9. Alright, future engineers!
    **Matrix multiplication** combines two matrices, forming a new one where elements are dot products of rows & columns.
    Ex: `(AB)_ij = sum(A_ik * B_kj)`. Inner dimensions must match!
    Pro-Tip: It's NOT commutative (AB != BA)!
    #Matrices #LinearAlgebra #STEM #StudyNotes

  10. Alright, future engineers!
    **Matrix multiplication** combines two matrices, forming a new one where elements are dot products of rows & columns.
    Ex: `(AB)_ij = sum(A_ik * B_kj)`. Inner dimensions must match!
    Pro-Tip: It's NOT commutative (AB != BA)!
    #Matrices #LinearAlgebra #STEM #StudyNotes

  11. Thanks for attending! We were able to port a lot more of `glam` into our Gleam matrices library. A polished release will be right around the corner and 1.0 not far off.

    See you next week, like/follow/subscribe: youtube.com/@seancribbs

    #GleamLang #GameDev #Matrices

  12. Alright, future engineers!

    **Matrix Multiplication** creates a new matrix where `C_ij` is the dot product of row `i` from the 1st matrix & column `j` from the 2nd.

    Ex: `A(2x3) * B(3x2)` gives `C(2x2)`.
    Pro-Tip: Inner dimensions must match!

    #LinearAlgebra #Matrices #STEM #StudyNotes

  13. A major #update to my #collection of #morphological #matrices worthy to infer #networks:
    a bunch of matrices we generated and reanalysed for a paper by S. Renner, D. Sokoloff, and me dealing with ancestors, hard polytomies and seed plant evolution; depicted not as the usual cladograms (where ancestor-descendant pairs must trigger unsolvable hard trichotomies) but as a "Romerogram" (or spindle graph) that shows #dichotomy as well as #buddingEvolution, i.e., #phylogeny

    doi.org/10.6084/m9.figshare.70

  14. A major #update to my #collection of #morphological #matrices worthy to infer #networks:
    a bunch of matrices we generated and reanalysed for a paper by S. Renner, D. Sokoloff, and me dealing with ancestors, hard polytomies and seed plant evolution; depicted not as the usual cladograms (where ancestor-descendant pairs must trigger unsolvable hard trichotomies) but as a "Romerogram" (or spindle graph) that shows #dichotomy as well as #buddingEvolution, i.e., #phylogeny

    doi.org/10.6084/m9.figshare.70

  15. A major #update to my #collection of #morphological #matrices worthy to infer #networks:
    a bunch of matrices we generated and reanalysed for a paper by S. Renner, D. Sokoloff, and me dealing with ancestors, hard polytomies and seed plant evolution; depicted not as the usual cladograms (where ancestor-descendant pairs must trigger unsolvable hard trichotomies) but as a "Romerogram" (or spindle graph) that shows #dichotomy as well as #buddingEvolution, i.e., #phylogeny

    doi.org/10.6084/m9.figshare.70

  16. A major #update to my #collection of #morphological #matrices worthy to infer #networks:
    a bunch of matrices we generated and reanalysed for a paper by S. Renner, D. Sokoloff, and me dealing with ancestors, hard polytomies and seed plant evolution; depicted not as the usual cladograms (where ancestor-descendant pairs must trigger unsolvable hard trichotomies) but as a "Romerogram" (or spindle graph) that shows #dichotomy as well as #buddingEvolution, i.e., #phylogeny

    doi.org/10.6084/m9.figshare.70

  17. A major #update to my #collection of #morphological #matrices worthy to infer #networks:
    a bunch of matrices we generated and reanalysed for a paper by S. Renner, D. Sokoloff, and me dealing with ancestors, hard polytomies and seed plant evolution; depicted not as the usual cladograms (where ancestor-descendant pairs must trigger unsolvable hard trichotomies) but as a "Romerogram" (or spindle graph) that shows #dichotomy as well as #buddingEvolution, i.e., #phylogeny

    doi.org/10.6084/m9.figshare.70

  18. 🎩🤓 Behold, the blog that bravely attempts to explain the mystical Q, K, V #matrices as if they're the holy trinity of #AI. Spoiler alert: it's mostly a glorified game of 'which word matters?' because we all need another reason to overcomplicate common sense. 🙄🔍
    arpitbhayani.me/blogs/qkv-matr #QKV #Overcomplication #CommonSense #HackerNews #HackerNews #ngated

  19. 🎩🤓 Behold, the blog that bravely attempts to explain the mystical Q, K, V #matrices as if they're the holy trinity of #AI. Spoiler alert: it's mostly a glorified game of 'which word matters?' because we all need another reason to overcomplicate common sense. 🙄🔍
    arpitbhayani.me/blogs/qkv-matr #QKV #Overcomplication #CommonSense #HackerNews #HackerNews #ngated

  20. 🎩🤓 Behold, the blog that bravely attempts to explain the mystical Q, K, V #matrices as if they're the holy trinity of #AI. Spoiler alert: it's mostly a glorified game of 'which word matters?' because we all need another reason to overcomplicate common sense. 🙄🔍
    arpitbhayani.me/blogs/qkv-matr #QKV #Overcomplication #CommonSense #HackerNews #HackerNews #ngated

  21. 🎩🤓 Behold, the blog that bravely attempts to explain the mystical Q, K, V #matrices as if they're the holy trinity of #AI. Spoiler alert: it's mostly a glorified game of 'which word matters?' because we all need another reason to overcomplicate common sense. 🙄🔍
    arpitbhayani.me/blogs/qkv-matr #QKV #Overcomplication #CommonSense #HackerNews #HackerNews #ngated

  22. 🚨BREAKING NEWS: Another thrilling episode of "Linear Algebra for Masochists" has been released, now with 100% more convoluted Python snippets! 🙃 Get ready to snooze through endless chapters of #vectors and #matrices, because clearly, that's what the world needs right now! 📉📚
    little-book-of.github.io/linea #LinearAlgebraForMasochists #PythonSnippets #TechHumor #BreakingNews #HackerNews #ngated

  23. There are two obstacles when you use #Assemblyscript and #Deno for #MachineLearning #ML and #SmallLanguageModels #SLM. 1. Assemblyscript works with linear memory and you have to flatten 3D #tensors and 2D #matrices into 1D #arrays for doing any matrix algebra. 2. Deno is a bit more complicated than Node.js when working with #WASM (#Webassemly) files. Here is how you do it. Webassembly makes NNUE models even faster in computation. This together with #WebGPU will become our future. #AI #javascript

  24. Furthermore, she showed that certain stabilising effects of #network #structure can only be reproduced in theoretical #matrices when the underlying distribution of interaction strengths is highly skewed - which is in apparent contradiction to what is suggested by random matrix theory....

    👉🏻 biorxiv.org/content/10.1101/20

    More of her results will be published soon, so stay tuned!

  25. BLOSUM (Genetics 🧬)

    In bioinformatics, the BLOSUM matrix is a substitution matrix used for sequence alignment of proteins. BLOSUM matrices are used to score alignments between evolutionarily divergent protein sequences. They are based on local alignments. BLOSUM matrices were first introduced in a paper by Steven Henikoff and Jorja Henikoff. They scanned the BLOCKS database for very conserved regions of p...

    en.wikipedia.org/wiki/BLOSUM

    #Blosum #Genetics #Matrices #BiochemistryMethods

  26. BLOSUM (Genetics 🧬)

    In bioinformatics, the BLOSUM matrix is a substitution matrix used for sequence alignment of proteins. BLOSUM matrices are used to score alignments between evolutionarily divergent protein sequences. They are based on local alignments. BLOSUM matrices were first introduced in a paper by Steven Henikoff and Jorja Henikoff. They scanned the BLOCKS database for very conserved regions of p...

    en.wikipedia.org/wiki/BLOSUM

    #Blosum #Genetics #Matrices #BiochemistryMethods

  27. BLOSUM (Genetics 🧬)

    In bioinformatics, the BLOSUM matrix is a substitution matrix used for sequence alignment of proteins. BLOSUM matrices are used to score alignments between evolutionarily divergent protein sequences. They are based on local alignments. BLOSUM matrices were first introduced in a paper by Steven Henikoff and Jorja Henikoff. They scanned the BLOCKS database for very conserved regions of p...

    en.wikipedia.org/wiki/BLOSUM

    #Blosum #Genetics #Matrices #BiochemistryMethods

  28. BLOSUM (Genetics 🧬)

    In bioinformatics, the BLOSUM matrix is a substitution matrix used for sequence alignment of proteins. BLOSUM matrices are used to score alignments between evolutionarily divergent protein sequences. They are based on local alignments. BLOSUM matrices were first introduced in a paper by Steven Henikoff and Jorja Henikoff. They scanned the BLOCKS database for very conserved regions of p...

    en.wikipedia.org/wiki/BLOSUM

    #Blosum #Genetics #Matrices #BiochemistryMethods

  29. 'A Statistical Experimental Design Method for Constructing Deterministic Sensing Matrices for Compressed Sensing', by Youran Qi, Xu He, Tzu-Hsiang Hung, Peter Chien.

    jmlr.org/papers/v25/22-0760.ht

    #sensing #matrices #compressed