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Вернуться к End-to-End Machine Learning with TensorFlow on GCP

Отзывы учащихся о курсе End-to-End Machine Learning with TensorFlow on GCP от партнера Google Cloud

4.5
звезд
Оценки: 1,457
Рецензии: 232

О курсе

In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp). One of the best ways to review something is to work with the concepts and technologies that you have learned. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform Prerequisites: Basic SQL, familiarity with Python and TensorFlow >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

Лучшие рецензии

GV
20 сент. 2020 г.

I would like to thank Lak and Chris for their wonderful presentation of the deployment of ML models on the Google Cloud Platform. The case study problem chosen for the course is also unique.

GP
17 нояб. 2019 г.

awesome learning experience fro the teacher from google. thanks to coursera and google for providing me such a good lesson which will be beneficial for my upcoming future and research work

Фильтр по:

51–75 из 230 отзывов о курсе End-to-End Machine Learning with TensorFlow on GCP

автор: Shuo Y

19 мая 2019 г.

Good course to get hand-on experience on end-to-end ML systems with Tensorflow.

автор: Miroslav K

15 дек. 2018 г.

Excellent up to date content, instructors, examples and labs - #1 in the field!

автор: Devashish P

19 июня 2020 г.

Not for absolute beginners but a fantastic course for learning cloud-based ml

автор: Anggraito D S

13 апр. 2020 г.

I became more aware of how to make machine learning with the tensorflow model

автор: Vinícius A

7 авг. 2019 г.

Nice recap of all previously concepts and a great hands-on with ML Engine.

автор: Mike M

30 сент. 2018 г.

Anyone who wants to see how an idea goes to a product should start here.

автор: NAVEEN K

22 февр. 2019 г.

Practical Labs are really useful in learning end to end ML in GCP

автор: DAYYAN T M

3 сент. 2020 г.

had a great experience with this course i enjoyed and learned it

автор: André P

12 июля 2019 г.

Excelente didática e práticas para aprender fazendo. Muito bom.

автор: Bhadresh S

13 янв. 2019 г.

It was great course which converses entire ml learning journey

автор: Immad M K

21 февр. 2020 г.

Nice course for practical implementation of Machine Learning.

автор: Shreya R

5 июля 2019 г.

Labs were perfectly designed to get nice hands-on experience.

автор: grzegorz k

23 нояб. 2019 г.

Course is very good, a lot of examples and high value videos

автор: Shubham M

17 сент. 2019 г.

It's great if one wants to know actual deployment pipeline.

автор: Ayush T

12 окт. 2019 г.

Without a doubt, a great recap of the last specialization.

автор: Kishor K

14 июля 2020 г.

The course built up my basic skills to advance level....

автор: Surbhi k

6 июня 2020 г.

easy to understanding and knowledge of labs are improved

автор: ELINGUI P U

2 окт. 2018 г.

the rare course where you can learn this topic today

автор: Yash K S

6 авг. 2019 г.

good insight to GCP, even learned new concept of ML

автор: HoseongYang

27 авг. 2019 г.

Tensorflow를 GCP상에서 구현하는 과정에 대해서 익힐 수 있어서 좋았습니다.

автор: SAIPRIYADARSHAN C

27 нояб. 2018 г.

Interesting to the gcp users and ml developers.

автор: Joses P

19 апр. 2020 г.

It was a great experience. Thank you Coursera.

автор: Hicham A

17 мар. 2019 г.

Good course with complete development cycle

автор: Rashid M

22 нояб. 2018 г.

Interesting and easy..

content is very rich.

автор: kimchohee

1 июля 2019 г.

what a wonderful course! thankyou so much!