This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. You will understand and analyze how to deal with changing data. You will also be able to identify and interpret potential unintended effects in your project. You will understand and define procedures to operationalize and maintain your applied machine learning model. By the end of this course you will have all the tools and understanding you need to confidently roll out a machine learning project and prepare to optimize it in your business context.
이 강좌에 대하여
- 5 stars71.11%
- 4 stars11.11%
- 3 stars13.33%
- 1 star4.44%
OPTIMIZING MACHINE LEARNING PERFORMANCE의 최상위 리뷰
Too bad that few students taking it and I cannot get peer reviews..............
One of the finest courses about Machine Learning Optimization. The course walks you through almost all possible scenarios that will need optimization.
The whole specialization is extremely useful for people starting in ML. Highly recommended!
Very good course! I appreciate the opportunity to learn more from Alberta Machine Intelligence Institute. On the downside, Peer-graded Assignment block our progress on the course.
Machine Learning: Algorithms in the Real World 특화 과정 정보
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.