2 de jul. de 2021
Interesting material. There are quite a lot of typos and many code snippets are directly from the tfx manual pages however the instructions provided and logic of the course is clear.
13 de oct. de 2021
It is a very informative course. I learned a lot about data, metadata, schema and feature engineering, Also, Robert Crowe sir is a very good teacher.
por Daniel E•
3 de mar. de 2022
There is quite a bit of support coding that is required to perform many of the tasks in the final lab. It is what it is and I got through it.
por Sagar D•
14 de may. de 2022
Content is difficult to relate with, feels disconnected between modules and between different chapters.
por Michael L•
13 de jul. de 2022
Didn't find the labs especially practical, some presentations felt bogged down by definitions.
por Carlos C•
24 de oct. de 2021
It is too much Google oriented
por Will N•
28 de mar. de 2022
I found this course very dissapointing, especially in comparison to the previous course that this expands on. Given the reputation of the speaker, I was expecting a higher standard.
To begin with, there is far too much focus on TensorFlow. The concepts in this course are important to know, however they are briefly introduced in the videos, which are followed by a TensorFlow coding lab. The key information is hidden behind what are called "programming assignments", which unfortunately are nothing more than regurgitating TensorFlow code. For week 3, the videos total 40 minutes, and for week 4, 31 minutes. This course would be improved by spending more time explaining the MLOps principles.
Many of the principles encountered in this course I have already been practising during my PhD, choosing to handcode basic pipelines to automate my ML analysis. I would say that while this course is useful, knowing how to automate a machine learning pipeline does not prepare you for the working world. Without understanding exactly what is being done when you run each TensorFlow command, you will not be able to understand what you are doing and this will limit the impact of the work produced. I have learned more through my own work than I have during this course.
There are alternatives to TensorFlow for automating ML pipelines and the demonstrations are not hidden behind a paywall. For that matter, there are a large number of videos online that demonstrate the use of TensorFlow.
por Roberto N L•
28 de ene. de 2022
After the first wonderful course in this specialization, this one was quite a disappointment. While the topic is quite dense, the material covered in this course was very superficial and served only to sponsor TFX even though there are many other tools in this landscape. A more fitting name for this course would be "An introduction to TFX for the Machine Learning Data Lifecycle in Production:"
por Nikki A•
11 de ene. de 2022
I was pretty disappointed in this course, particularly compared to the previous Andrew Ng course in this specialization. The last course was very informative and general, where as this one felt like a sales pitch for TFX. I learned very little, especially since my focus is on deep learning, not the shallow, tabular data that was discussed here.
por Max A•
17 de sep. de 2021
The course is informative and well made, but the bugs in the grading algorithm are super annoying!
por Merlin S•
4 de jul. de 2021
Its incomprehensible to me why this course has such a good average score.
por Chandramouli B•
6 de abr. de 2022
This course was nothing short of painful for someone who has had some industry experience, as well as som experience teaching. The video instructions were disjointed, unclear and did precious little to prepare one for the graded lab assignments. There was significant lack of cohesion between the ungraded and graded labs. Finally, the TFX ecosystem is esoteric, unnecessarily complex and a nightmare to use. As someone looking to adopt a data pipeline for their production ML model, all this course has done is convince me not to use TFX.
por Panagiotis S•
25 de ene. de 2022
Very poor content. Also it was not engaging at all. The instructor was just reading the slides and gave only a slight explanation on more advanced concepts. Also the graded assignments were too easy and only focused on Tensorflow products which not everybody out there uses. Personally I was dissapointed that using ONLY tensorflow components that cannot be used alongside with other libraries like Pytorch or MXNet. Very dissapointing..
por Germán G•
28 de may. de 2021
Traté en varios navegadores de enviar mi trabajo para ser sometido a evaluación, sin éxito. No obtuve respuesta ni soporte.
El contenido es interesante pero el soporte y habilitación no está al nivel de lo requerido: es lamentable que no reembolsen.
por Longlong F•
16 de may. de 2022
The assignment grading system is not working. I submit the right expected answer but got 0/120. This is pretty annoying and discouraging.
por Koraldo K•
6 de ago. de 2022
Feel free to skip this course, you've learned most of this content in the intro and the rest is just TensorFlow marketing.