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学生对 deeplearning.ai 提供的 Machine Learning Modeling Pipelines in Production 的评价和反馈

4.5
207 个评分
35 条评论

课程概述

In the third course of Machine Learning Engineering for Production Specialization, you will build models for different serving environments; implement tools and techniques to effectively manage your modeling resources and best serve offline and online inference requests; and use analytics tools and performance metrics to address model fairness, explainability issues, and mitigate bottlenecks. Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills. Week 1: Neural Architecture Search Week 2: Model Resource Management Techniques Week 3: High-Performance Modeling Week 4: Model Analysis Week 5: Interpretability...

热门审阅

JS

Sep 13, 2021

Excellent content and lectures from Mr. Robert . Thank you very much Sir for the excellent way of explaining these difficult topics . Thank you !!!

MB

Oct 20, 2021

I enjoyed this course a lot. It gave me a lot of ideas on how I can improve my models and make my workflow more efficient. Thank you.

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26 - Machine Learning Modeling Pipelines in Production 的 38 个评论(共 38 个)

创建者 amadou d

Aug 8, 2021

Excellent!! Ver, Very Very Good. Learn a lot. Thank you for sharing.

创建者 Fernandes M R

Sep 24, 2021

The first course of MLOps, and the best.

创建者 Thiago P

Feb 1, 2022

Really liked the last week content

创建者 MORUFU B

May 14, 2022

This is a very detail course

创建者 Илья В

Sep 9, 2021

great course, a lot of stuff

创建者 Liang L

Jul 22, 2021

Good content and hands on.

创建者 Raspiani

Aug 28, 2021

Awesome Thanks

创建者 莫毅啸

Dec 24, 2021

haved fun!

创建者 EMO S L

Sep 29, 2021

Nice !!!!

创建者 Fernando F

Mar 9, 2022

Very nice course. The reason I graded it as 4 (and not 5) was related to the educational value of the labs based on Google's console. Per se, the exercises were flawless but I felt like I was just running the steps without much understanding of what I was doing.

Yet, an awesome course. I learned a lot! Thank you very much!

创建者 Carlos A L P

Jan 3, 2022

G​reat course, you can learn new concepts related to MLOps and new technologies like major Cloud vendors, packages and platforms like TensorFlow for the ML model. I would like to have more exercises to apply the various terms and processes seen during the course

创建者 Jerry Z

Apr 4, 2022

Lots of hands-on exercises accompanying knowledge learned in this course 3, but could be difficult for someone without prior working knowledge on Google Cloud platform/services.

创建者 Ruan L D

Nov 19, 2021

Good but I think that is much content for low time