{"id":14977267,"url":"https://github.com/millengustavo/ml-books","last_synced_at":"2025-10-07T04:40:35.908Z","repository":{"id":112833955,"uuid":"229946742","full_name":"millengustavo/ml-books","owner":"millengustavo","description":"My notes on some books I read on Machine Learning","archived":false,"fork":false,"pushed_at":"2022-08-29T21:53:55.000Z","size":1709,"stargazers_count":35,"open_issues_count":0,"forks_count":14,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-04-08T14:52:56.705Z","etag":null,"topics":["book","ipynb","machine-learning","python"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/millengustavo.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-12-24T13:27:51.000Z","updated_at":"2024-11-29T11:42:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"fed5ad2f-4f08-4f99-b6c7-452d3f362bb1","html_url":"https://github.com/millengustavo/ml-books","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/millengustavo/ml-books","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/millengustavo%2Fml-books","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/millengustavo%2Fml-books/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/millengustavo%2Fml-books/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/millengustavo%2Fml-books/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/millengustavo","download_url":"https://codeload.github.com/millengustavo/ml-books/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/millengustavo%2Fml-books/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278722728,"owners_count":26034461,"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","status":"online","status_checked_at":"2025-10-07T02:00:06.786Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["book","ipynb","machine-learning","python"],"created_at":"2024-09-24T13:55:22.976Z","updated_at":"2025-10-07T04:40:35.886Z","avatar_url":"https://github.com/millengustavo.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# My notes on some books I read on Machine Learning\n\n- Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow - Aurélien Geron [[open notes]](hands-on-ml/notes.md)\n\n- Python Machine Learning - Sebastian Rashcka [[open notes]](python-ml/notes.md)\n\n- The Hundred-Page Machine Learning Book - Andriy Burkov [[open notes]](hundred-page-ml/notes.md)\n\n- Introduction to Machine Learning with Python: A Guide for Data Scientists - Andreas C. Müller and Sarah Guido [[open notes]](intro-ml-python/notes.md)\n\n- Building Machine Learning Powered Applications: Going from Idea to Product - Emmanuel Ameisen [[open notes]](build-ml-app/notes.md)\n\n- Learning Spark: Lightning-Fast Data Analytics - Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee [[open notes]](learning-spark/notes.md)\n\n- An Introduction to Statistical Learning - Gareth M. James, Daniela Witten, Trevor Hastie, Robert Tibshirani [[open notes]](intro-statistical-learning/notes.md)\n\n- Machine Learning Engineering - Andriy Burkov [[open notes]](ml-engineering/notes.md)\n\n- Designing Machine Learning Systems - Chip Huyen [[open notes]](designing-ml-systems/notes.md)\n\n# Applications\n\n## WaveNet\n\nFrom van den Oord's [paper](https://arxiv.org/abs/1609.03499)\n\n![wavenet_gif](images/wavenet.gif)\n\n### Forecast Example\n\n[Open jupyter notebook [ipynb]](./examples/time-series-LSTM-GRU-WaveNet.ipynb)\n\n![wavenet_loss](images/wavenet_loss.png)\n\n![wavenet_forecast](images/wavenet_forecast.png)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmillengustavo%2Fml-books","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmillengustavo%2Fml-books","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmillengustavo%2Fml-books/lists"}