Chevron Left
返回到 End-to-End Machine Learning with TensorFlow on GCP

學生對 Google 云端平台 提供的 End-to-End Machine Learning with TensorFlow on GCP 的評價和反饋

4.5
741 個評分
113 個審閱

課程概述

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 <<<...

熱門審閱

SA

Mar 03, 2019

Definitely adds a unique perspective on thinking about machine learning systems at scale. This course is suitable for Data Scientists, Data Engineers and Machine Learning Engineers.

KT

Oct 07, 2018

A very helpful course, we were able to practically apply all the knowledge we received from the First Specialization. I feel much more confident to do ML after this course!

篩選依據:

101 - End-to-End Machine Learning with TensorFlow on GCP 的 114 個評論(共 114 個)

創建者 林佳佑

Nov 02, 2018

the course is helpful for any learner initial to touch GCP learning

創建者 KimNamho

Jun 12, 2019

thank you

創建者 Mark Y

Jun 22, 2019

nice

創建者 정은성

Jun 29, 2019

I am satisfied with GCP training except for some errors.

I think I need the latest update.

創建者 길경완

Jun 30, 2019

well

創建者 Rahul D G

Jul 13, 2019

QuickLabs has error in many labs

創建者 신형재

Jul 02, 2019

errors...

創建者 Alireza K

Jul 27, 2019

The labs were completed, I need to only run them. which I think I couldn't engage myself

創建者 Grzegorz G

Feb 12, 2019

Labs are not working. I'm getting 'access to the resource denied' error

創建者 Russ K

Aug 30, 2018

Looks like this class could be very useful, but you have to pay up front before you can try any labs. Don't bother auditing.

創建者 Sacha v W

Jun 20, 2019

Quite some labs did not work. It shows how several components of GCP can be used. Then there are implementation labs that are really abacadabra. I was really disappointing.

創建者 Jakub B

Jun 19, 2019

Very weak course. There are no assignments, only 'labs' for which there are walkthrough videos that tell what happens in code, but they don't actually ask to implement or test anything.

The qwiklabs platform is also very unwieldy - even for labs that take 10 minutes you have to go through set up that takes at least 5 minutes...

If you want to take whole specialization the course might be useful, but otherwise DO NOT DO THIS COURSE

創建者 bearrumor T

Jun 28, 2019

Too short Time and Too Many Contents and Too rare comments for ToDo items in LabTasks

創建者 Maxim

Jul 05, 2019

This specialization consists of 5 courses:

Course1: End-to-End Machine Learning with TensorFlow on GCP

Course2: Production Machine Learning Systems

Course3: Image Understanding with TensorFlow on GCP

Course4: Sequence Models for Time Series and Natural Language Processing

Course5: Recommendation Systems with TensorFlow on GCP

In specialization's FAQ say nothing about "audit" option. Do You know what is it ? "Audit" means that You can use course video material even after You subscriptions ended.

By fact, only "Course 1" has such ability. Before pay for specialization, carefully check FAQ for EACH separated course in specialization:

courses 2-5 has special point:

"Why can’t I audit this course?

This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

"

"Who have paid" means that after You subscriptions ended, you lost access to video materials in this courses.

p.s.

1 star only for "Audit", content and lecturers are rated higher - at least 4 stars