Name
..
includes
2015-01-30-the-nips-experiment-examining-the-repeatability-of-peer-review.ipynb
2015-09-21-peer-review-and-the-nips-experiment.ipynb
2015-10-06-matrix-factorization.ipynb
2015-10-07_controlPointTalk.ipynb
2015-10-13-linear-regression.ipynb
2015-10-20-basis-functions.ipynb
2015-10-20-what-kind-of-ai.ipynb
2015-10-23-what-kind-of-ai.ipynb
2015-10-27-generalization.ipynb
2015-11-03-bayesian-regression.ipynb
2015-11-18-health-infrastructure.ipynb
2015-11-24-naive-bayes.ipynb
2015-12-01-logistic-and-glm.ipynb
2015-12-11-mechanistic-fallacy.ipynb
2015-12-15-gaussian-processes.ipynb
2016-01-27-what-kind-of-ai.ipynb
2016-01-29-OxWaSP GP Talk.ipynb
2016-03-10_what-kind-of-ai.ipynb
2016-03-17_what-kind-of-ai-public.ipynb
2016-05-24-what-kind-of-ai.ipynb
2016-06-27-data-science-intro.ipynb
2017-03-16-the-rise-of-the-algorithm.ipynb
2017-08-30-cloaking-functions.ipynb
2017-12-04-deep-probabilistic-modelling-with-gaussian-processes.ipynb
2017-12-04-deep-probabilistic-modelling-with-gaussian-processes.slides.ipynb
2018-05-02-towards-ml-systems-design.ipynb
2018-05-11-outlook-for-uk-ai-and-ml.ipynb
2018-05-29-uncertainty-in-loss-functions.ipynb
2018-06-04-bayesian-methods.ipynb
2018-06-04-bayesian-methods.slides.ipynb
2018-08-25-probabilistic-machine-learning.ipynb
2018-08-25-probabilistic-machine-learning.slides.ipynb
2018-09-03-gpss-session-1.ipynb
2018-11-14-bayesian-methods-abuja.ipynb
2018-11-30-artificial-intelligence-data-science-and-machine-learning-systems-design.ipynb
2018-12-10-machine-learning-and-the-physical-world.ipynb
2019-01-09-gaussian-processes.ipynb
2019-01-09-gaussian-processes.slides.ipynb
2019-01-11-deep-gaussian-processes.ipynb
2019-01-11-deep-gaussian-processes.slides.ipynb
2019-05-23-meta-modelling-and-deploying-ml-software.ipynb
2019-06-03-what-is-machine-learning.ipynb
2019-06-06-the-three-ds-of-machine-learning.ipynb
2019-09-10-introduction-to-deep-gps.ipynb
2019-10-15-data-quality-and-data-readiness.ipynb
2019-10-21-what-is-machine-learning-ashesi.ipynb
2020-01-24-r250-gp-intro.ipynb
2020-07-24-ml-systems.ipynb
2020-08-23-modelling-things.ipynb
2020-09-16-deep-gps.ipynb
2021-02-02-introduction-to-machine-intelligence.ipynb
2021-05-05-ml-and-the-physical-world-sheffield.ipynb
2021-05-17-post-digital-transformation-intellectual-debt.ipynb
2021-07-13-ml-and-the-physical-world-tuebingen.ipynb
gp_tutorial.py
mountain_car.py
teaching_plots.py