返回到 Optimizing Machine Learning Performance
學生對 Alberta Machine Intelligence Institute 提供的 Optimizing Machine Learning Performance 的評價和反饋
45 個評分
課程概述
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.
To be successful, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode).
This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii).
熱門審閱
MB
2022年1月5日
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.
PZ
2021年3月21日
One of the finest courses about Machine Learning Optimization. The course walks you through almost all possible scenarios that will need optimization.
篩選依據：
1 - Optimizing Machine Learning Performance 的 9 個評論（共 9 個）
創建者 Abdullah A
•2020年1月2日
創建者 Valery M
•2020年3月31日
創建者 Marciele d M B
•2022年1月20日
創建者 Pankaj Z
•2021年3月21日
創建者 Emilija G
•2020年1月9日
創建者 Gustavo I M V
•2021年3月11日
創建者 Kalhan B
•2020年9月12日
創建者 Lam C V D
•2020年8月29日
創建者 Hen H
•2021年2月19日
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