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Вернуться к Machine Learning Modeling Pipelines in Production

Отзывы учащихся о курсе Machine Learning Modeling Pipelines in Production от партнера deeplearning.ai

4.5
звезд
Оценки: 207
Рецензии: 35

О курсе

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...

Лучшие рецензии

JS

13 сент. 2021 г.

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

MB

20 окт. 2021 г.

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.

Фильтр по:

26–38 из 38 отзывов о курсе Machine Learning Modeling Pipelines in Production

автор: amadou d

8 авг. 2021 г.

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

автор: Fernandes M R

24 сент. 2021 г.

The first course of MLOps, and the best.

автор: Thiago P

1 февр. 2022 г.

Really liked the last week content

автор: MORUFU B

14 мая 2022 г.

This is a very detail course

автор: Илья В

9 сент. 2021 г.

great course, a lot of stuff

автор: Liang L

22 июля 2021 г.

Good content and hands on.

автор: Raspiani

28 авг. 2021 г.

Awesome Thanks

автор: 莫毅啸

24 дек. 2021 г.

haved fun!

автор: EMO S L

29 сент. 2021 г.

Nice !!!!

автор: Fernando F

9 мар. 2022 г.

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!

автор: Carlos A L P

3 янв. 2022 г.

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

автор: Jerry Z

4 апр. 2022 г.

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.

автор: Ruan L D

19 нояб. 2021 г.

Good but I think that is much content for low time