데이터가 있고 그 데이터로 무엇을 알 수 있는지 궁금하신가요? 머신 러닝으로 비즈니스를 개선할 수 있는 핵심 방법을 더 깊이 이해해야 하나요? 회귀 및 분류에서 딥 러닝 및 추천 시스템까지 어떤 내용으로든 전문가와 대화할 수 있기를 원하시나요?
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머신 러닝 기초: 사례 연구 접근 방식
University of WashingtonAbout this Course
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Approx. 18 hours to complete
Korean
Skills you will gain
- regression modeling
- Document Retrieval
- Factorization
- Recommender Systems
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Approx. 18 hours to complete
Korean
Offered by
Syllabus - What you will learn from this course
3 hours to complete
인사말
3 hours to complete
18 videos (Total 84 min), 8 readings, 1 quiz
3 hours to complete
회귀: 주택 가격 예측
3 hours to complete
19 videos (Total 82 min), 3 readings, 2 quizzes
3 hours to complete
분류: 감정 분석
3 hours to complete
19 videos (Total 75 min), 3 readings, 2 quizzes
3 hours to complete
클러스터링 및 유사성: 문서 검색
3 hours to complete
17 videos (Total 76 min), 3 readings, 2 quizzes
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