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Learner Reviews & Feedback for How Google does Machine Learning by Google Cloud

4.6
stars
7,217 ratings

About the Course

This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models. The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them....

Top reviews

JT

Nov 5, 2018

Great to know how to do machine learning in scale and to know the common pitfalls people may fall into while doing ML. Provides great hands-on training on GCP and get to know various API's GCP offers.

PB

Mar 20, 2019

Really easy with all instruction.I didnt feel bored at any point gave me the basic idea of what is machine learning and how easy google made API's and cloud platform for machine learning

Thank you

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801 - 825 of 1,108 Reviews for How Google does Machine Learning

By Russell H

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Aug 12, 2018

Content was really interesting. I especially the emphasis on the big picture (the 5 phases) and the discussion of bias in ML; I have not seen these in any other course so far. The labs were a bit involved even though no code had to be written, due to the number of steps and screens. The fact that the GCPUI has changed since the videos and instructions were put together added an extra layer of obfuscation to the labs.

By Mahek M

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May 28, 2020

Great learning experience with this course. Using Qwiklabs on Google Cloud Platform made me introduced to alot many things and interacted with Big Query, creating Notebooks, creating VM instances using Compute Engine, using APIs to test existing APIs by google such as Text, Vision, Speech, Translate APIs. How heuristic rules are not necessarily need not to be followed while working on ML Model at certain point.

By Tom

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Aug 13, 2018

Very informative stuff. The videos could be better though:

a. a pointer following the data the lecturer talks about

b. more visuals

c. better explanations for concepts, e.g. the questionnaire about "create concept for ML Model for a chosen problem" was hard to understand, as general concepts were missing (e.g. how was the question "what would the API look like?" meant?)

By Saif A

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Apr 13, 2020

This course was well organized. I really loved it and I want to take the other courses in this specialization. thank you a lot for helping me like that and give me this opportunity to learn about ML.

I hope that you make other courses so I can enrich my knowledge, because I would love to work in ML field .So again thank you so much

By Lenny F

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Jun 14, 2020

the equality of opportunity is important but you are seeing less people discuss it when they work on ML project. It's very inspiring for me that it's important to consider this important factor when you design a model. Not just aggregating all of the data together, running into same algorithm and maximizing the profit.

By Shah M H R F

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Feb 4, 2019

It is a very interactive course that helped me understand some amazing concepts of Machine Learning, BigQuery and google services available for the same. Understanding the APIs provided by google such as Vision API, Translation API, Speech API to name a few, were really helpful to my learning of ML models.

By Deleted A

•

Jun 22, 2019

Amazing course, I got to know about many contemporary things about Machine Learning in this course and also some about how Google does ML. But one thing is there, I had a trouble with getting access to the labs which usually says to me 'Sorry, access not granted to the resource', that surely sucks.

By Anubhav S

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Jul 24, 2019

I am a student at a college and for me, this course makes a nice start. Although I find some things to be quite far fetched i.e some keywords we hard to understand.

I did understand the business aspect of this course and save it for my future years. This course makes me hype about the further one

!!

By Javier C

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Aug 19, 2018

Good essentials and introduction to Machine Learning. It doesn't go in depth of math behind, instead, it keeps it in a low level explanation for understanding basics of ML. They introduce how Google's APIs may be used for ML, and they seem really easy to use and get with them in production.

By Josh B

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Sep 11, 2019

I enjoyed the theoretical discussions, including the full process discussion, surrounding ML. Realizing that ML is not a panacea for random problems was a game-changer in focusing our efforts on problems that could benefit from ML now and defining the requirements for ML on other projects.

By Minhaz R

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May 4, 2020

It was really nice and informative course and it turned out that I was really didn't know about all the risk and abominable topics in Machine Learning like the ML surprise, secret sauce all these funny though important terms have taught me a lot of real and formidable things. Thank you.

By Vishal V

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Nov 3, 2018

A well put out course. The content flow was great and the Google product info seemed more contrived than ads. The lessons could have been a little more detailed and the content split into 2 weeks or so. A good course if you take it after Andrew NG's Structuring ML Projects course

By Dr B S

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Apr 25, 2020

The course is little difficult for a person having little knowledge on computer especially cloud computing and programming. But the course contents are easy to understand. Only the Laboratory sessions have to be explored more by the participants for gaining more knowledge.

By Luis M L D

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Jun 20, 2020

This course, as an introduction to the specialization, allowed me to land the ideas I had about machine learning, as well as focus efforts on obtaining the data that in the development of ML, now I understand what processes I must carry out so as not to fail in the I try.

By Saibal M

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Jun 13, 2019

It's a part of the specialisation, so taking this course is important for completing the specialisation. But the contents of course is also important for a beginner, who is just going start his/her career in ml. It teaches some useful key points on doing ml in real life.

By Shridhar H

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Jun 30, 2018

The course was excellent. It cleared some myths about Machine Learning. I always though that training the ML model was important but collecting data is much more important than that.Looking forward to use Google Cloud Platform in the future for production of my projects.

By Sinan G

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Aug 3, 2018

Interesting new insights about biases in ML and a little about how to avoid it, thus going towards so-called "inclusive" ML. Nice overview about how to frame an ML problem and the key importance of data. Good and quick review of some of the Google Cloud API services.

By Ashutosh G

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Aug 3, 2019

With focus on how to implement ML in the real world the course provides us with at least one part of the ML Pipeline which can allow an organization to quickly implement ML in its business. I look forward to the data ingestion part of the specialization.

By Nagaraj S

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Dec 29, 2018

Excellent material on what are the pitfalls to avoid while doing machine learning. The laying groundwork and following all the steps section made sense. It shows that the course material has been prepared by practitioners - they "know their stuff".

By Cathryn S

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Jun 14, 2020

A nice overview of Google Cloud Platform's machine learning capabilities, and an intro into how Google thinks about Machine Learning. Could probably be covered more quickly, but gives you a chance to play around a little and explore if you wish.

By VIVIEN W C

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Apr 8, 2021

Content is just right and I like the labs which are very interactive. That said, someone with prior IT background would find this a lot easier than someone who don't. I will recommend this to anyone who likes to get some introduction to ML.

By Jayank M

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Jul 6, 2018

At some points it was a bit confusing. Especially the labs, where some instruction were not at easy to understand as the could be. But overall I found this course very helpful in understanding what ML meant and how we should approach it.

By Zhenyu W

•

Jan 2, 2019

Overall the course is good. IMHO the quiz needs to be improved. It should have more questions and the questions should be more directly related to the lecture or the contents. And I think the course should add some case studies.

By Manohar P

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Jan 10, 2020

The information which is potrayed very beautifully.Lecturers are quite clear and gave very isolated information.Finally it is one of my best course on online platform with a lot of basic knowledge on ML with clarifications.

By Rohini M

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Apr 20, 2019

Good introduction into Machine learning. Does not tax you with the jargon and deep concepts but more like an outline to how Machine Learning is implemented. Has Qwiklab exercises which helps you get familiar with the tools.