{"id":16507866,"url":"https://github.com/noahgift/ml-engineer-certification","last_synced_at":"2026-02-11T07:31:36.660Z","repository":{"id":41056744,"uuid":"504177975","full_name":"noahgift/ml-engineer-certification","owner":"noahgift","description":"Notes on Google ML Engineer Certification","archived":false,"fork":false,"pushed_at":"2022-07-23T20:29:14.000Z","size":7,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-09-03T00:44:51.841Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/noahgift.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":"2022-06-16T14:01:17.000Z","updated_at":"2025-07-11T15:25:19.000Z","dependencies_parsed_at":"2022-09-12T18:23:38.968Z","dependency_job_id":null,"html_url":"https://github.com/noahgift/ml-engineer-certification","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/noahgift/ml-engineer-certification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fml-engineer-certification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fml-engineer-certification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fml-engineer-certification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fml-engineer-certification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/noahgift","download_url":"https://codeload.github.com/noahgift/ml-engineer-certification/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Fml-engineer-certification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29329493,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-11T06:13:03.264Z","status":"ssl_error","status_checked_at":"2026-02-11T06:12:55.843Z","response_time":97,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":"2024-10-11T15:31:20.029Z","updated_at":"2026-02-11T07:31:36.644Z","avatar_url":"https://github.com/noahgift.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# ml-engineer-certification\nNotes on Google ML Engineer Certification\n\n\n## Framing ML Problems\n\n* [framing](https://developers.google.com/machine-learning/crash-course/framing)\n\n### 01: Translating business challenges into ML use cases\n* Problem type (e.g., classification, regression, clustering)\n  * classification\n  * regression\n  * clustering\n\n* Outcome of model predictions\n* Input (features) and predicted output format\n\n### 02: Defining ML problems\nAlignment of ML success metrics to the business problem\nKey results\nDetermining when a model is deemed unsuccessful\n\n### 03: Defining business success criteria\nAlignment of ML success metrics to the business problem\nKey results\nDetermining when a model is deemed unsuccessful\n\n### 04: Identifying risks to the feasibility of ML solutions\nAssessing and communicating business impact\nAssessing ML solution readiness\nAssessing data readiness and potential limitations\nAligning with Google’s Responsible AI practices (e.g., different biases)\n\n\n## References\n\n* [Professional Machine Learning Engineer](https://cloud.google.com/certification/machine-learning-engineer)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoahgift%2Fml-engineer-certification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnoahgift%2Fml-engineer-certification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoahgift%2Fml-engineer-certification/lists"}