A Course on Learning from Experience скачать в хорошем качестве

A Course on Learning from Experience

This is a NotebooLM "video" slide about our cross-disciplinary course on data analysis for the sciences. The only prerequisite is "Consent of Instructor". An even more "accessible" Claymation art style storybook on this topic may be found at https://gemini.google.com/share/2b5d3.... The thumbnail is a figure from Chapter 28 of David Mackay's free text which asks the question: What are the odds that there's only one box behind the tree? The book's free pdf is available at http://www.inference.phy.cam.ac.uk/ma.... Another free pdf book explored in our course is the one by James Sethna discussed in our playlist on Modern Physics. Other texts that have provided guidance for the course is the one by Phil Gregory on "Bayesian logical data analysis for the physical sciences", as well as Burnham, K. P. and Anderson D. R. "Model selection and multimodel inference", but again the focus is on developing intuition rather than on numerical expertise. Caution: As usual with large language models, lack of precision accompanies perhaps unexpected connections, which might serve to at least begin a conversation about the topic at hand.