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.
À propos de ce cours
- 5 stars72,72 %
- 4 stars9,09 %
- 3 stars13,63 %
- 1 star4,54 %
Meilleurs avis pour OPTIMIZING MACHINE LEARNING PERFORMANCE
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.
The whole specialization is extremely useful for people starting in ML. Highly recommended!
One of the finest courses about Machine Learning Optimization. The course walks you through almost all possible scenarios that will need optimization.
Too bad that few students taking it and I cannot get peer reviews..............
À propos du Spécialisation Machine Learning: Algorithms in the Real World
This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.
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