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学生对 Alberta Machine Intelligence Institute 提供的 Optimizing Machine Learning Performance 的评价和反馈

45 个评分


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)....



Jan 19, 2022

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.


Mar 21, 2021

One of the finest courses about Machine Learning Optimization. The course walks you through almost all possible scenarios that will need optimization.


1 - Optimizing Machine Learning Performance 的 9 个评论(共 9 个)

创建者 Abdullah A

Jan 2, 2020

创建者 Pankaj Z

Mar 21, 2021

创建者 Valery M

Mar 31, 2020

创建者 Marciele d M B

Jan 20, 2022

创建者 Emilija G

Jan 9, 2020

创建者 Gustavo I M V

Mar 11, 2021

创建者 Kalhan B

Sep 12, 2020

创建者 Lam C V D

Aug 29, 2020

创建者 Hen H

Feb 19, 2021