{"id":13653672,"url":"https://github.com/google/applied-machine-learning-intensive","last_synced_at":"2025-09-30T07:31:22.154Z","repository":{"id":53113261,"uuid":"204785668","full_name":"google/applied-machine-learning-intensive","owner":"google","description":"Applied Machine Learning Intensive","archived":true,"fork":false,"pushed_at":"2021-04-06T06:31:55.000Z","size":65809,"stargazers_count":147,"open_issues_count":0,"forks_count":69,"subscribers_count":10,"default_branch":"master","last_synced_at":"2025-01-07T16:07:19.284Z","etag":null,"topics":["data-science","machine-learning","python3","sklearn","tensorflow","tensorflow-examples","tensorflow-tutorials"],"latest_commit_sha":null,"homepage":"https://github.com/google/applied-machine-learning-intensive","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/google.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-08-27T20:32:26.000Z","updated_at":"2024-12-19T17:24:18.000Z","dependencies_parsed_at":"2022-09-08T22:24:18.095Z","dependency_job_id":null,"html_url":"https://github.com/google/applied-machine-learning-intensive","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/google%2Fapplied-machine-learning-intensive","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google%2Fapplied-machine-learning-intensive/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google%2Fapplied-machine-learning-intensive/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/google%2Fapplied-machine-learning-intensive/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/google","download_url":"https://codeload.github.com/google/applied-machine-learning-intensive/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":234712890,"owners_count":18875527,"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":["data-science","machine-learning","python3","sklearn","tensorflow","tensorflow-examples","tensorflow-tutorials"],"created_at":"2024-08-02T02:01:14.837Z","updated_at":"2025-09-30T07:31:17.098Z","avatar_url":"https://github.com/google.png","language":"Jupyter Notebook","funding_links":[],"categories":["Machine Learning"],"sub_categories":[":books: Textbooks"],"readme":"# Applied Machine Learning Intensive\n\n## Overview\n\nThe Applied Machine Learning Intensive (AMLI) is a collection of content\nthat can be used to teach machine learning. The original content was\ncreated for a 10-week, bootcamp-style course for undergraduate college\nstudents. Designed for students who weren’t necessarily majoring in\ncomputer science, the goal was to enable participants to apply machine \nlearning to different fields using high-level tools.\n\nThe content primarily consists of slides, [Jupyter](https://jupyter.org/)\nnotebooks, and facilitator guides. The slide decks are written in\n[marp](https://marp.app/) markdown syntax, which can be exported to other\nformats. The Jupyter notebooks were written in and targeted to run in\n[Colab](https://colab.research.google.com/). The instructor guide as an\nodt document.\n\n## Answer Keys\n\n\nApplied Machine Learning Intensive instructional materials are available\nopen source for faculty looking to run this program for students. This\nrepository offers all slide decks, facilitation guides, labs, and gradable\nitems. Because the program is considered academic in nature, we ask that\ninterested faculty fill out the form below to receive a password to unlock\nthe answer keys. We will provide you with a password that can be used to\nunlock the keys using a standard zip program or the `tools/unlock_labs.py`\ntool found in this repository.\n\nPlease fill out the following brief form to receive the answer keys for the curriculum:\n\nhttps://docs.google.com/forms/d/e/1FAIpQLSd9v0az2wmKP659Xx5SlS7WPbQPD3u3yLXZMn0LHf3Vjj-ziw/viewform\n\nThe information that you submit will be maintained in accordance with\n[Google’s Privacy Policy](http://www.google.com/policies/privacy/).\n\n## Licensing Information\n\nAll course content (Colabs, slides, guides, and materials) are open sourced\nunder the [CC-BY-4.0 International license](https://creativecommons.org/licenses/by/4.0/).\nAll code contained in this course is open sourced under the\n[Apache 2.0 license](https://www.apache.org/licenses/LICENSE-2.0).\n\nAttribution and license information for content not created by Google will\nbe presented in the speaker notes.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle%2Fapplied-machine-learning-intensive","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgoogle%2Fapplied-machine-learning-intensive","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle%2Fapplied-machine-learning-intensive/lists"}