学生对 Google 云端平台 提供的 How Google does Machine Learning 的评价和反馈

Excellent start point of this well designed course. It gave a fair idea about Google's way of thinking about ML. It's really intriguing me to go through the rest of the modules.

Great introduction and hands-on labs that give a quick preview of what to expect the power of ML and the strategies and processes one must consider for a project of this nature.

Good course to know , how google cloud platform can be used for machine learning in your applications.Good instructor.its gives an abstract to, how other cloud platforms works.

very good resources and good knowledge in the field of instructor, specially ms, sara robinson. I like her lectures. i am willing to pursue more courses in this specialization.

This is an Amazing course which gives introduction to Machine learning with a decent hands on experience using Quicklabs. Excellent documentation and the code works seamlessly.

It is a great opportunity given by Coursera to learn on such a high platform with a great environment and earn the certificate and to boast confidence to do better in life.

Extremely useful! And a beautifully crafted course for a beginner to Google Cloud Platform. Very practical approach that suits the practical needs of to-be practitioners.

This course opens eyes to real world data science projects' workflow. It is important to understand big picture and see dependencies general parts of DS from each other.

Its wonderful, one to experience the really how Google does machine Learning ...big kudos to team Google for creating this plat form, it really help research community.

The Best Course on Giving a Basic Idea of How to Get into Machine Learning Over GCP and Use Pretrained Modules etc Thanks Google and Coursera For this Wonderful Course

Very well structured course to get started into ML. Takes the barriers to learning by making things really simple to understand. The instructors were really great too!

An amazing course which provides real world perspective on Machine learning from conceptualization to deployment. I hope to see more exercises as part of the course.

Practical overview with much needed non-technical context! Very much enjoyed this course! ML surprise, path to ML and ML strategy sections are particularly good.

At the end it was very entertaining to use various images to detect test and sentiment. Even tried some watermarks, alas the vision API doesn't detect watermarks.

A surprisingly comprehensive introduction to Google's approach to ML. Th course is pragmatic to how projects develop as well as current GCP offerings around ML.

I am very impressed with the course. Very practical. How to communicate with API seamlessly. Working on cloud. I was impressed. Thank you Google for this course.

It was very useful to spend some time confirming the fact that actual ML is a small part of Machine Learning. Other high level concepts were also interesting.

Examples in contents are timely and engaging. It would be great if there is some food for thought for advanced users/students after each learning objectives.

A practical introduction to a fascinating product. Contains a lot of know-how about the practice of machine learning. Am very glad that I took this course.

I love the simplicity and straightforward approach you implement for AI. The platform is simply amazing and the instruction is clear and easy to understand!

A very nice overall view of Google Cloud Platform and some of the tools available. This will come in handy when working on specific ML problems. Thank you!

It is an interesting course for everyone that want to start studing and understanding the world of AI, deciselly on the path of the Democratization of AI

Great introduction, and easy-to-follow, thorough instructions. Balanced and nuanced view of the role and practical applications of ML in the real world.

Change my view on ML and how i approach ML.. This is a very good course and I feel every programmer jumping into the field ML should start with this..

I always wondered, how exactly machine learning models work. This courses give a basic overview of how things happen in real life software development