Voltar para Optimizing Machine Learning Performance
Comentários e feedback de alunos de Optimizing Machine Learning Performance da instituição Alberta Machine Intelligence Institute
45 classificações
Sobre o curso
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).
Melhores avaliações
MB
19 de jan de 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.
PZ
21 de mar de 2021
One of the finest courses about Machine Learning Optimization. The course walks you through almost all possible scenarios that will need optimization.
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1 — 9 de 9 Avaliações para o Optimizing Machine Learning Performance
por Abdullah A
•2 de jan de 2020
por Pankaj Z
•21 de mar de 2021
por Valery M
•31 de mar de 2020
por Marciele d M B
•20 de jan de 2022
por Emilija G
•9 de jan de 2020
por Gustavo I M V
•11 de mar de 2021
por Kalhan B
•12 de set de 2020
por Lam C V D
•29 de ago de 2020
por Hen H
•19 de fev de 2021
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