Love the course but this specialization is fairly complex and is new type of thinking as such take a bit of understanding.

Thumbs sideways.

I learned a ton but it appears as technology grows and changes updates to the platform is sort of static.

The content is quite rich in this course. I feel decomposing it into two weeks might make it structurally more clear.

Very well explained, lost time during tutorials because of apache beam version conficts with google cloud dataflow

starts off with a bang, and generally excellent. the tf.transom section needs a bit of freshening and refocusing

This course gives an ample understanding on the significance of Features and Data in Machine learning.

Really comprehensive course.Was a bit tough to follow sometimes,but guess it's just beginners problem.

Good Course, helped me to learn something new about GCS and feature learning. Thanks for this course.

This course really needs more hands on work with code, but it was still good and I learned lots.

this was really good, except removed one start for trifacta integration of dataflow lab.

Felt like it was cut short at the end. Would like to see a bit more on the tf.transform

the course needs some code upgrades because of ML engine is close to be depecreated

Good guidance more detailed explanations then it would be perfect.

very nice course , -1 star for no pdf/ppt notes made available

great content and cool notebooks ... sometimes hard to follow

Very practical and Lak is a great teacher and communicator!

Maybe a little more example of how deal with features.

This course explains theories nicely with labs

good clear instructions, and valuable content.

Comprehensive yet precise and clear.

No course material for reference

Very important information here

Lovely Course. Thanks Google

Focuses mostly on DNN

Labs have problems