Отзывы учащихся о курсе Проектирование признаков от партнера Google Cloud

The tf.transform and Apache Beam concepts are not explained in simple ways.

Also the lab jumped from simple programs to complex programs.

A lot of the code, did not work.

Had a lot issues with the quiz grader.

The videos are good and better than the last two courses in the specialization; however, the labs lack proper instructions and not that helpful. This course seems like more of an advertisement for Google Cloud Platform than feature engineering: details of engineering part is hardly covered in the course; more emphasis is on demonstrating on how to do it on GCP.

Would appreciate more guidance on the exercises

The notebook based demos are unfortunately pretty useless as labs. All of these courses would be much improved with real labs that require the student to build the system.

The assessments do not actually require writing any code; you just execute the given code blocks. Little knowledge will be retained unless students actually write code and solve problems, even for the motivated ones who read through all the given code.

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.

Great Course!

Very useful. Good job.

Hands-on parts could be broken into smaller chunks with longer de-briefs.

This course should be mandatory for any ML practitioner. It teaches you that ML is not only about throwing whatever you want to (sort of) a model and expect to get reasonable results. It is about getting to know your problem and squeeze the data available.

Amazing course! Gives insight into one of the most important part of solving Machine Learning problems; feature engineering!!

had a great experience

Learned a lot

Great, Labs were redundant at times.

Great teaching

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.

Learned lots of stuff on feature engineering

Hope all the materials in this course will be updated soon. However , thanks to all of you!

Great series!

This course is a little bit harder than the former three courses. But the intuition of feature cross and embedding is very inspiring.

Very Detailed and good for individuals who do not have statistical background. Thank you.

Great course. A bit more difficult than the other 3, because the topic is more complex. Once finished the course you'll get the big picture. It may take some time to digest all little details, but everything is very well explained in a more than exhaustive way. Teachers are also very engaging and never boring. Highly recommend to anyone interested in the topic!

Comprehensive Overview on Feature Engg

Excellent Course and advice from experts about Feature Engineering and data pipelines utilizing advanced processes on GCP, thanks to Google and Coursera.