Отзывы учащихся о курсе Проектирование признаков от партнера Google Cloud

A lot of the code, did not work.

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

Also the lab jumped from simple programs to complex programs.

Had a lot issues with the quiz grader.

Would appreciate more guidance on the exercises

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.

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.

Learned lots of stuff on feature engineering

Very useful. Good job.

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

Learned a lot

this is the most interesting part

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!

had a great experience

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

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.

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

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.

super

Very good stuff on feature engineering overall. Feature cross was new to me and looked very promising, and tf.transform was awesome.

Best course to learn feature engineering

Best course in the series so far! liked the labs, a bit heavy and challenging at the same time

Lak is awesome in his well-thought explanations!

Very, very comprehensive deep dive into the "real" stuff. tf.transform truly rocks, guys!

The course provides an overview and details of a very varied, comprehensive, and advanced range of possibilities to do feature engineering. Because the software and API's presented have a lot of details you will have to work a lot more with the information provided to attain a "hands-on" feeling. However you get a good starting point and knowledge of the possibilities.