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Вернуться к Smart Analytics, Machine Learning, and AI on GCP

Отзывы учащихся о курсе Smart Analytics, Machine Learning, and AI on GCP от партнера Google Cloud

4.6
звезд
Оценки: 1,075
Рецензии: 127

О курсе

Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs....

Лучшие рецензии

HM
11 мая 2020 г.

It was a good decision to do this course as i learn and practiced lot in GCP. Thank you the team for amazing support guidance and instructions. Course content and material was appreciated. Thanks.

MB
15 мая 2020 г.

Very good ML course to introduce students with Google Cloud machine learning capabilities. Maybe there should be a lab for AutoML (after video lessons), as it exists on Qwiklab platform.

Фильтр по:

101–125 из 126 отзывов о курсе Smart Analytics, Machine Learning, and AI on GCP

автор: Youcef B

2 июля 2020 г.

good for the introduction

автор: Ijeoma O

15 мая 2020 г.

quality springboard

автор: Jorge G O

23 мая 2020 г.

Very introductory.

автор: Vikas J

11 мая 2020 г.

Very informative

автор: venkata s r

11 апр. 2020 г.

Good one.

автор: Abhishek D

30 июня 2020 г.

Good.

автор: Ritesh K

7 февр. 2020 г.

good

автор: SAJID M W

14 янв. 2020 г.

good

автор: Pratik M

27 апр. 2020 г.

Major focus was given to BigQuery which is a big disappointment. I feel that Python provides ease in programming and wide scope. Writing BigQuery is damn complex task.

автор: Boris P

28 июня 2020 г.

The labs are not great; one takes an hour "watching" a model to be trained; this is skipped in another one, however the upload was not working for me as designed

автор: Alex s

1 окт. 2020 г.

Not that useful, watch some you youtube video and make the qwiklabs which are free.

автор: Jair M

14 янв. 2021 г.

A lot of notebooks are failing, and need to deep on some concepts like kubleflow

автор: Nagraja B

6 мая 2020 г.

Some of the labs had glitches. Overall a very good course.

автор: Abel Y T

13 июля 2021 г.

Need More Video, expecially to learn syntax in bigqueryML

автор: Miguel M C

4 окт. 2020 г.

Too much issues in Qwiklabs

автор: Abilash S

21 июня 2020 г.

last lab fails

автор: Verda A

30 окт. 2021 г.

Whilst the content of this course is well structured, what let this course down is the dismal quality of support provided by the Qwiklabs support team.

Many Coursera students undertaking this course were adversely impacted by a technical issue with the lab exercise titled Predict Bike Trip Duration with a Regression Model in BQML. Upon raising a support case to the Qwiklabs support team, it was confirmed that this was a known issue. In spite of that confirmation, no notification was provided to all impacted students to inform them of this and instead, support was poorly handled on a case by case basis.

Impacted students were not provided with any clear, consistent, and detailed messaging by the Qwiklabs support team (e.g. what the issue is, who is taking care of it, when it may be resolved, when another progress update may be available, what is the workaround in the meantime, etc). In addition, aside from an initial response upon raising a support case via email with the Qwiklabs support team, no further responses were provided from them in spite of impacted students following up to request progress updates. There was basically a period of >10 days of radio silence from the Qwiklabs support team.

This is an incredibly disappointing experience and degrades not only the quality of an otherwise great course but also negatively impacts the experience of using the Coursera platform. It is a pity that the instructors of this course who have clearly put in a lot of effort into content creation have been let down by the Qwiklabs support team.

автор: Philip G

14 окт. 2021 г.

Broad introduction to ML and AI with a focus on GCP services. The course has a marked superficiality, and never goes into depth on any of the services offered. Vertex AI is left out, despite it seemingly superseding AI Platform. Not all of the qwiklabs worked completely. I am left with a broad understanding of what services are available. This course needs updating with the latest services, and the qwiklabs need more depth and quality control.

автор: Shubha H

14 мая 2020 г.

Google Cloud Platform Big Data and Machine Learning Fundamentals course, the first course in the Data Engineering learning path, has better content / explanation of concepts than this course. If you are a beginner, this course may not provide you the tools required to understand Big Query/ ML or any of the other topics mentioned in it.

автор: Mohamad H

29 нояб. 2020 г.

It has some good parts on BQML, the rest is very shallow and quick overview.

автор: Amit G

23 мая 2020 г.

Cannot complete the course because the first lab in Week 2 is broken. Shows error again and again. Used 3 attempts with same error in all 3.

автор: Audrius V

12 июня 2020 г.

As almost all google courses on coursera this is the same exquisite bullshit mostly consisting of blah blah blah videos

автор: Christian d P

28 июля 2020 г.

No puedo terminar el curso. La ultima practica se bloqueo a pesar de que mi fecha indicaba el 27/07/2020.

автор: samstiyer

27 авг. 2020 г.

One of the labs is broken. Don't waste your time on this course it should be taken down until fixed.

автор: Нагайцев А

7 сент. 2020 г.

There is problem with step verifying In Lab BigQuery in Jupyter Labs on AI Platform.