Google Cloud Training
8.5/10
(Our Score)
Product is rated as #120 in category Machine Learning
In this course, you’ll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. – Devise a content–based recommendation engine – Implement a collaborative filtering recommendation engine – Build a hybrid recommendation engine with user and content embeddings >>> 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 <<<
Instructor Details
Votes: 7
Courses : 28
Specification: Recommendation Systems with TensorFlow on GCP
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36 reviews for Recommendation Systems with TensorFlow on GCP
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| Provider | |
|---|---|
| Duration | 11 hours |
| Year | 2018 |
| Level | Expert |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
Recommendation Systems with TensorFlow on GCP
Liang–Chun C –
Not very intuitive explanation compared with previous four courses.
Liang Chun C –
Not very intuitive explanation compared with previous four courses.
Agerneh D –
Great contents!
Jun W –
An excellent course. Frankly to say, I did not fully understand the details of this specialization. But it let me get a general idea what Google is doing. GCP has a lot of cool staff, and definitely has a bright future. Thank you Googlers.
Afreen F –
Theoretical part was great and some of it was really new for me(eg. WALS, contextual recommendations). Lab was really pointless as the time provided did not justify the problem difficulty level. But, I guess that was necessary as resources used were expensive. Another pain point was creation of an account every time.
Harold L M M –
This was a large and hard course on ML and in particular for Recommendation Systems. The videos were way to long. The content was very interesting. I’ve learned new algorithms like WALS for Collaborative Filtering and others more. The Cloud Composer technology is cool for Keeping your System learning all the time. Thank you Googlers.
Hemant D K –
A very challenging course.
Luiz G M –
very good course. Complex sometimes but well worth my time
Sinan G –
Great work by Google, a lot of material and system walk–throughs. Apache Airflow / Google Composer is a smart tool but perhaps too complicated where more simple e.g. bash cron scripts could suffice – however it is understood that for truly scalable end–to–end systems the traditional single–cloud–virtual–machine solutions will not do. We are shown how that could look like and much more.
Sanjay K –
No tensorflow.. lot of talk not a single math.. NOt good
Carlos V –
Excellent Course, in particular, the explanations around Google’s Cloud Composer, the quality of the templates and the labs, thanks very much Lack and all your team for putting together this great specialization and course.
Jesper O –
The labs by themselves – ‘jupyter’ notebooks – are good, but they were obviously developed in some other context and then reused in coursera. This is a problem. There about 6 labs per course – in each of the 10 courses of the two Machine Learning specialisations. Each lab starts the same way – connect to the google cloud, allocate a vm, check out a git repository – exact same repository for all labs. It takes 10 minutes. Not 10 minutes where you can go away and have a cup of coffee – 10 minutes where you have to be there and accept terms, answer ‘Y’ etc. If the labs are done outside the Coursera context you would be able to pick up where you left off in the previous lab – zero setup time. But not here – it is too much wasted time: 10*6*10 600 minutes. Evil.
Facundo F –
awesomw complexity. some videos are very long, but worth revisiting
Hicham A –
Excelent End to end recomandation systems course
David K –
Harder to follow than the other courses and did not love the teacher who led most of the lectures
Mark Z –
Bad course overall. It has some theoretical content in it, but concepts are not explained in depth and videos are sometimes hard to follow. Speaking of assignments, I had no motivation for completing them, because, firstly, they are not graded, and secondly, they are terribly designed and one won’t get much from them.
Jakub B –
Very poor course. Assignments are very weak and they do not test anything – there is no grader, you can just verify solution by watching the lab videos. The content is OK, but web is full of good content on recommendation systems. If you want to take this course by any means do not pay for it – by paying you only get access to qwiklab platform which sucks for these kind of assignments, and anyway you can do almost everything from the course on GCP free tier, and also not lose your progress every time you log out of lab.
Maxim –
One star, but not to content. But because the course don’t have “Audit” option. It’s mean that after subscription ended and you received certificate, You can’t more access to video material in course. When subscription active, You can use mobile application and download video material for studying offline. Before yours subscription ened, copy video material to safe place for later review. p.s. But the course content deserves a higher mark – 4–5 stars.
hwang y h –
it is very helpful to understand how recommendations system , GCP composer works.
Jose G M –
I would like that in the course provide for more readings to keep it.
Daniel L –
I enjoyed this course too much, usually every company wants a recommended system, but the courses or examples available on the web are few. Very well explained many theoretical aspects.
Putcha L N R –
Succinct course on building recommendation systems!!
Meet G –
Best course of the Specialization
Naman M –
great
Thinh N –
It is useful course. Thank you!
Rahul G –
awesome labs !
Shayne C –
Again, very information and super fun. Thank you.
Mahendra S C –
great course Lots of details but its worth it.
Muhammad S S –
Very helpful course for AI starters
KyleGHan –
good
Rodrigo S –
Some of the labs had no work for me to do whatsoever – just run the notebook as is. Other than that, great course. Cheers!
Muhammad W P A –
comprohensive
Navid K –
Amazing, Amazing Amazing course and specialisation. Definitely one of the best out there, if not The best!! practical, advanced and real–world examples, particularly I loved You Tube example. Another great job from Google
Joe A –
Amongst all tensorflow courses this is probably the most useful. Using AI to make better and automated recommendations can benefit most businesses.
Mr. J –
Brilliant.
Paulina M –
Overall a good and comprehensive introduction to recommendation systems. On the downside, some functions used were deprecated, there was sometimes inconsistency between versions in labs (for example automatic upgrading to Tensorflow 2.0, which was incompatible with other libraries used in the lab and things like that). Also, in my opinion an insight into the models’ results is lacking. There was a nice explanation of the performance in content based part, but later during hybrid and context aware systems there was no comment on models’ accuracy in comparison to the original basic solution.