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Avis et commentaires pour d'étudiants pour Optimizing Machine Learning Performance par Alberta Machine Intelligence Institute

4.4
étoiles
45 évaluations

À propos du cours

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)....

Meilleurs avis

MB

19 janv. 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 mars 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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par Abdullah A

2 janv. 2020

par Pankaj Z

21 mars 2021

par Valery M

31 mars 2020

par Marciele d M B

20 janv. 2022

par Emilija G

9 janv. 2020

par Gustavo I M V

11 mars 2021

par Kalhan B

12 sept. 2020

par Lam C V D

29 août 2020

par Hen H

19 févr. 2021