ml-minor-hse
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파일 탐색기
- colloquium_minor_problems_linear.pdf
- colloquium_minor_problems_metrics.ipynb
- colloquium_minor_problems_trees.ipynb
- exam_problems_example.pdf
- practice-homework-03.ipynb
- lecture01-intro.pdf
- lecture02-intro.pdf
- lecture03-linalg.pdf
- lecture04-calculus.pdf
- lecture05-probability.pdf
- lecture06-statistics.pdf
- lecture07-linreg.pdf
- lecture08-linclass.pdf
- lecture09-quality.pdf
- lecture10-trees.pdf
- lecture11-trees-forests.pdf
- lecture12-reduction.pdf
- lecture13-clustering.pdf
- lecture14-knn.pdf
- lecture01-intro.pdf
- lecture02-intro.pdf
- lecture03-knn.pdf
- lecture04-regression.pdf
- lecture05-regression.pdf
- lecture06-linclass.pdf
- lecture07-quality.pdf
- lecture08-trees.pdf
- lecture09-trees.pdf
- lecture10-reduction.pdf
- lecture11-clustering.pdf
- lecture12-recommender.pdf
- lecture13-statistics.pdf
- lecture14-ranking.pdf
- lecture15-transfer.pdf
- lecture01-intro.pdf
- lecture02-intro.pdf
- lecture03-knn.pdf
- lecture04-regression.pdf
- lecture05-regression.pdf
- lecture06-linclass.pdf
- lecture07-quality.pdf
- lecture08-trees.pdf
- lecture09-ensembles.pdf
- lecture10-reduction.pdf
- lecture11-clustering.pdf
- lecture12-recommender.pdf
- lecture13-ranking.pdf
- lecture14-svm.pdf
- lecture01-intro.pdf
- lecture02-intro.pdf
- lecture03-knn.pdf
- lecture04-regression.pdf
- lecture05-regression.pdf
- lecture06-linclass.pdf
- lecture07-quality.pdf
- lecture08-trees.pdf
- lecture09-ensembles.pdf
- lecture10-ensembles.pdf
- lecture11-reduction.pdf
- lecture12-clustering.pdf
- lecture13-recommender.pdf
- lecture14-ranking.pdf
- lecture15-svm.pdf
- lecture16-transfer.pdf
- lecture01-intro.pdf
- lecture02-knn.pdf
- README.md
# CDN으로 사용하기
jsDelivrjsDelivr는 공개 GitHub 리포지토리를 별도 설정 없이 CDN으로 즉시 서빙합니다. 버전과 파일을 고르면 웹페이지에 바로 붙일 수 있는 링크와 예시 코드가 만들어집니다.
링크
예시
// repository documentation
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