Jan 09, 2018
Thank you very much for making this course available on Coursera, I cannot agree more the knowledge of Mr Venkat. This is a great way to help people to get started with Google Machine Learning.
Sep 21, 2017
Great course! I've learnt a lot. The concepts where super clear. The coding part was a little difficult, I didn't understand all af it, but it's good to have a complete example to use.
创建者 oscar z•
Feb 28, 2019
its an interesting introduction to ML using tensor flow deploying interesting real data models.
创建者 Camilo G•
Mar 08, 2019
创建者 Syed M H J•
Mar 11, 2019
Very quick and short introduction to machine learning. Should have been a bit longer. Understanding written code is easy. Courses should ask the students to write their own code as well. Otherwise 5/5 course~!!
创建者 Kishore K P•
Mar 16, 2019
If we have good idea on tensorflow this is one of the best course to do.
创建者 Venkata S R K•
Mar 17, 2019
Good one to understand the basics of Machine Learning and how it can be done in GCP
创建者 Rasmus B•
Dec 16, 2018
I did not expect much, since I already worked with cloud ml before, but the points on feature engineering and model design were actually quite helpful and presented very well.
创建者 Aung K H•
Aug 08, 2018
Great content but a bit hard to concentrate details at times due to non animated slides while Lak is giving audio instructions.
创建者 Mohan K•
Aug 13, 2018
There was quiet a lot to digest in this module. Very hard to keep pace and still have right level of detail.
创建者 Dan G G•
Sep 17, 2018
Need a subtitle review.
创建者 Arslan M•
Oct 30, 2018
Course was less detailed. it should be more detailed and labs were less interacting almost all labs were similar just run the cloud shell clone the repo and run the cells in data lab. there should be some more variety in labs.
创建者 Joachim H•
Nov 03, 2018
Very good overview of Tensorflow for Data Engineers.
创建者 Narasimharao K•
Jul 06, 2017
Some of the videos are repetitive but the content is very good. The Problem used for explaining the Tensorflow is great
创建者 Edward C•
May 05, 2018
The instructor and course content are good, though there are still some errors in the labs that need fixing.
创建者 Dominik M•
Jul 21, 2017
Very informative, but some materials seem to be preapred chaotically, the videos' content is doubled and the modules are split into segments that are too short.
创建者 Ramesh R•
Jul 17, 2017
Little difficult to follow but worth watching. If videos length being clubbed in a single video would be good. Lot of time for switching between videos
创建者 Bruno M•
Apr 23, 2018
Could be more interesting with done for more problems and examples
创建者 Narasimhan R•
Jun 27, 2017
Very good intro to TensorFlow on GCP.
创建者 Aussie P•
Sep 26, 2017
(+) Great video content, great hands-on exercises. To make full benefit of the hands-on exercises, I highly suggest that you try to hand-code all of the codes in the Jupyter notebook. This helps you to internalize and force you to think about what is really happening. As you do this, do side searches whenever you encounter concepts / terminologies that are foreign
(-) The structuring of video content is messy! There are many videos that are just a few seconds or being repeated. This cause a lot of overhead time wasted in loading the sections. Please group some of contents together.
创建者 Amit K•
May 30, 2018
need more details on TensorFlow and Nueral networks, will have to get that outside now
创建者 Olivia M R•
Aug 10, 2017
It is a great overview of ML and Tensorflow given by to my opinion a great teacher like Lak!
However for newbies like me is was hard at points and frustrating times with codlabs and deprecated versions of packages.
Other than that, very nice course!
创建者 Scott M•
Jul 10, 2017
The content was great and informative but the editing of the videos was really poor. A real shame as it detracted from the learning experience where videos were disjointed, repetitive in some areas and cut into a new videos when it just didn't need to. I also thought that the pace was a little fast and found it really difficult to complete in the space of a week. I had to motor through Module 4 quickly in order to finish the work and found that I probably missed out on absorbing a lot of great content. 2 weeks would be more suitable to complete the work in.
创建者 Irfan U•
Jun 15, 2018
Need to time for qwiklab test as it sometimes takes longer to execute certain part of the jupyter notebooks.
创建者 Rahul K•
Jul 31, 2017
Pretty good content and relevant for someone trying to understand Google offerings in this space.
创建者 yinxi z•
Dec 08, 2017
Thanks to the instructor! Great course, relevant materials and clear explanations. Just one suggestion, some videos are less than 1 min and seem to be cut off from the next ones, making the learning process a little interrupted.
创建者 Stephen N•
Nov 03, 2017
The labs would be more effective if we were forced to write code ourselves instead of just running completed pipelines.