{"id":13428489,"url":"https://fartaha.github.io/ml-advanced-probabilistic-methods/","last_synced_at":"2025-03-16T01:32:44.631Z","repository":{"id":65234613,"uuid":"588668622","full_name":"fartaha/ml-advanced-probabilistic-methods","owner":"fartaha","description":"Summary of CS-E4820 - Machine Learning: Advanced Probabilistic Methods","archived":false,"fork":false,"pushed_at":"2023-01-28T20:07:18.000Z","size":7718,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-10-28T07:48:14.740Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://fartaha.github.io/ml-advanced-probabilistic-methods/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fartaha.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2023-01-13T17:33:42.000Z","updated_at":"2023-01-25T20:16:43.000Z","dependencies_parsed_at":"2023-02-15T18:36:22.730Z","dependency_job_id":null,"html_url":"https://github.com/fartaha/ml-advanced-probabilistic-methods","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fartaha%2Fml-advanced-probabilistic-methods","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fartaha%2Fml-advanced-probabilistic-methods/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fartaha%2Fml-advanced-probabilistic-methods/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fartaha%2Fml-advanced-probabilistic-methods/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fartaha","download_url":"https://codeload.github.com/fartaha/ml-advanced-probabilistic-methods/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243814901,"owners_count":20352037,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-07-31T01:00:58.584Z","updated_at":"2025-03-16T01:32:43.853Z","avatar_url":"https://github.com/fartaha.png","language":"HTML","funding_links":[],"categories":["Data-Science"],"sub_categories":[],"readme":"![visitor badge](https://visitor-badge.glitch.me/badge?page_id=fartaha.visitor-badge)\n\n# ml-advanced-probabilistic-methods\nSummary of CS-E4820 - Machine Learning: Advanced Probabilistic Methods @ Aalto University\n\n\u003e Summary of Lec 1\n\u003cdetails open\u003e\n\u003csummary\u003eSummary of Lec 1\u003c/summary\u003e\n\n     \n\u003cdetails\u003e\n  \u003csummary\u003eMain Book\u003c/summary\u003e\n  \n\u003cimg src=\"https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcTjEMSPtUWUY7xJ2n8mNUOr1RWajGqEGcZyJNjGtqtW5WMgor-m\" alt=\"Bishop\"\n               style=\"width:200px;\" /\u003e\n\u003c/details\u003e\n     \n   ### Ingredients of probabilistic modeling\n\n    1. Models\n      * Bayesian networks\n      * Sparse Bayesian linear regression\n      * Gaussian mixture models\n      * latent linear models\n    2. Methods for inference\n      * maximum likelihood\n      * maximum a posteriori (MAP)\n      * Laplace approximation\n      * expectation maximization (EM)\n      * Variational Bayes (VB)\n      * Stochastic variational inference (SVI)\n      * ::MCMC methods (missing)::\n    3. Ways to select between models\n     \n     \u003cp\u003e..\u003c/p\u003e\n     \u003e **Example to use LaTEX**\n     \n$$\\begin{aligned}\n\u0026\\text { Table 1: A table without vertical lines. }\\\\\n\u0026\\begin{array}{lcc}\n\\hline \u0026 \\text { Treatment A } \u0026 \\text { Treatment B } \\\\\n\\hline \\text { John Smith } \u0026 1 \u0026 2 \\\\\n\\text { Jane Doe } \u0026 - \u0026 3 \\\\\n\\text { Mary Johnson } \u0026 4 \u0026 5 \\\\\n\\hline\n\\end{array}\n\\end{aligned}$$\n\n\n  \n\u003c/details\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/fartaha.github.io%2Fml-advanced-probabilistic-methods%2F","html_url":"https://awesome.ecosyste.ms/projects/fartaha.github.io%2Fml-advanced-probabilistic-methods%2F","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/fartaha.github.io%2Fml-advanced-probabilistic-methods%2F/lists"}