This course covers a lot about the data pre-processing, and the tools available in Google Cloud to enable the gruelling tasks. Thanks very much for the lectures and training labs. Very informative.
It's a pretty interesting course, specially that's the only one that teaches featuring engineering with a focus on production issues, but it assumes some knowledge with apache beam, and dataflow.
By Mus A A•
i have decided to join this learn then i am burning for my mind gets handle a process step by step to look after this. Feature Engineering so hard but i can do it.
By Francisco J G•
The content is great, not just from a technical point of view but for all the know-how that the different instructors share during in the videos and labs.
By Carlos V•
Excellent Course and advice from experts about Feature Engineering and data pipelines utilizing advanced processes on GCP, thanks to Google and Coursera.
By Enrico A•
This module covers a lot of tricks that should be employed during preprocessing to improve the prediction accuracy of machine learning methods.
By Antony J•
In depth and advanced. I spent hours poring over the Jupyter notebooks and consequently derived a great deal of value from the course.
By KAMASANI V R•
This course helped me in exploring the google platform in terms of data visualization, feature engineering techniques etc. Thank You.
By Jun W•
This course is a little bit harder than the former three courses. But the intuition of feature cross and embedding is very inspiring.
By Meynardo J•
Very good stuff on feature engineering overall. Feature cross was new to me and looked very promising, and tf.transform was awesome.
By Omar M•
very intresting and insightful ideas about data preprocessing and a great introduction to different tools to execute pipelines.
By PLN R•
Amazing course! Gives insight into one of the most important part of solving Machine Learning problems; feature engineering!!
By Anupam S•
Detailed explanations and examples. At places the explanations and intertwined topics do get convoluted, but overall good.
By Harold M•
Excellent course! One of the most important in this specialization.
I learned a lot!
Thank you very much Google Team!
By Sri B•
Being a beginner I felt very difficult to understand concepts taught in this course.But the content was awesome
By Wayne R•
This course definitely shows the value of the GC and TF tools and provided insight into building ML systems
By kai w h•
Really Good! I learnt so much! I'm really thankful for having such a great teaching team. thank you!
By Mark B•
Very useful. Good job.
Hands-on parts could be broken into smaller chunks with longer de-briefs.
By Juan P D P•
A highly sofisticated course about feature engineering and tensorflow union with tf.transform.
By Aditya h•
Best course in the series so far! liked the labs, a bit heavy and challenging at the same time
By Hua S•
Hope all the materials in this course will be updated soon. However , thanks to all of you!
By Stephen P•
Very informative, however in part 5 (iirc) the lab did not match up with the summary video
By Wolfgang G•
Very, very comprehensive deep dive into the "real" stuff. tf.transform truly rocks, guys!
By Sanjay K•
Very Detailed and good for individuals who do not have statistical background. Thank you.
By Gustavo M•
Probably the most important part of the specialization, and where I learned the most
By Badhan S•
I like this course very much. It saves me a lot of time about features selection.
If you want to become AI and Data Engineering jobs, It is really helpful for you.