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.
This course is part of the Machine Learning: Algorithms in the Real World Specialization
About this Course
Syllabus - What you will learn from this course
Machine Learning Strategy
Responsible Machine Learning
Machine Learning in Production & Planning
Care and Feeding of your Machine Learning System
- 5 stars69.56%
- 4 stars13.04%
- 3 stars13.04%
- 1 star4.34%
TOP REVIEWS FROM 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.
Too bad that few students taking it and I cannot get peer reviews..............
This last course has a great approach of the business applications.
One of the finest courses about Machine Learning Optimization. The course walks you through almost all possible scenarios that will need optimization.
About the Machine Learning: Algorithms in the Real World Specialization
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