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学生对 Google 云端平台 提供的 Applying Machine Learning to your Data with GCP 的评价和反馈

442 个评分
41 条评论


In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML. PREREQUISITES To get the most out of this course, participants must complete the prior courses in this specialization: • Exploring and Preparing your Data • Storing and Visualizing your Data • Architecture and Performance >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: <<<...



Jan 22, 2019

Enjoyed. I would add more in-depth ML part for BigQuery and different scenario. it also good to explain metric how and how to choose right features etc


Aug 11, 2018

The instructor Evan is super great to rolling out machine learning in an easy /understandable way. hope he can tech more in-depth of machine learning.


26 - Applying Machine Learning to your Data with GCP 的 39 个评论(共 39 个)

创建者 Atichat P

Sep 11, 2019


创建者 Ekta M

Aug 20, 2018


创建者 José R P

Feb 08, 2018


创建者 Chariton C

Sep 14, 2018

It would be nice if the labs had additional/different code then the one explained over the videos.

创建者 Christopher C

Mar 01, 2018

Good introduction to ml for me given i had no previous knowledge on the basics.

创建者 Raden R

Aug 25, 2019

Almost perfect

创建者 Hernán D R S

Jun 02, 2019

Nice Course.

创建者 Andrew P B

Jan 28, 2018

This is a very uneven course. There is some good material in the latter stages, but the initial coverage is very superficial. Some of the labs appear to have been lifted from Google's standard demos that you can find on the web. The qwiklabs tool is very tiresome, timing out your session after 90 mins, which means that on the more interesting lab there isn't time for proper exploration before your datalab session is reset (and lost). This seems unnecessary and mars what could have been very interesting.

创建者 Juan D O

Jul 16, 2018

I very disliked this module because of the accelerated labs in the end. I felt the the material of the last lab was worthy to invest at least a week of work. I also think that the 90 minutes lapse on Quicklab to finish the lab was not well suited for comprehensively studying the lab content. I would like to have had more time for experimenting by myself.

创建者 vincent p

Jul 02, 2018

Need more about the benefits of using Cloud Engine or DataFlow. The lab only shows that using those services is 100 times slower than local, which I think should not be the case.

创建者 Santhosh L P

Nov 22, 2018

Not much detail and course would have been little more detailed

创建者 Kaushik D

Jun 03, 2018

It is too high level

创建者 haoxin

Jun 23, 2019

too easy for me!

创建者 Ivelize R B

Jan 28, 2018

Very weak