..
|
notebooks
|
_config.yml
|
_lamd.yml
|
bayesian-methods.md
|
data-science-and-digital-systems-three-ds.md
|
data-science-and-digital-systems.md
|
data-science-and-digital-systems_draft.md
|
emulation-2022.md
|
innovation-to-deployment-turing.md
|
innovation-to-deployment.md
|
interpretable-end-to-end-learning.md
|
introduction-to-machine-intelligence.md
|
life-the-universe-and-machine-learning.bib
|
life-the-universe-and-machine-learning.md
|
life-universe-and-machine-learning.md
|
linear-regression-iterative.md
|
machine-learning-a-revolution-in-computer-science.md
|
machine-learning-and-intellectual-debt.md
|
machine-learning-and-the-physical-world.md
|
matrix-factorization.md
|
meta-modelling-and-deploying-ml-software.md
|
ml-and-the-physical-world-data-centric-engineering.md
|
ml-and-the-physical-world-trustworthy-ai.md
|
ml-and-the-physical-world-tuebingen.md
|
ml-systems-design.md
|
modelling-things.md
|
modelling-things.tex
|
outlook-for-uk-ai-and-ml.bib
|
outlook-for-uk-ai-and-ml.md
|
real-world-machine-learning-challenges-present-and-future.bib
|
real-world-machine-learning-challenges-present-and-future.md
|
real-world-machine-learning-challenges.md
|
the-three-ds-of-machine-learning.md
|
towards-ml-systems-design-lessons-from-comp-bio.md
|
towards-ml-systems-design.bib
|
towards-ml-systems-design.md
|
two-challenges-for-deep-learning.md
|
uncertainty-in-loss-functions.md
|
what-are-large-language-models.md
|
what-is-the-future-for-probability-in-the-era-of-generative-ai.md
|