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

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

Very good content on how to approach strategically ML and AI as capabilities and functions of business delivery. Many thanks for creating this course!

It was nice and short course to begin with Machine Learning, it provides us the understanding of of machine learning and use of Google Cloud Platform.

I learned lot through this course. Five star to all tutors. Very practical course on ML. I recommend for every beginner.

Thank you Cousera and Google.

Cloud services by GCP is a must have skill for a data scientist career now, this course definitely gives hands on experience with the google services

It was not only an informative session but also very interesting to know hoe google uses ML module wise to crack difficult problems in easy ways.

This course is great to gain insight for practical ML, how you do it, what is purpose, what must be avoided and other tips regarding ML practical

This course was presented in a basic fashion that made it quite easy to follow and understand without being bored off by technical terminologies.

After some Kaggle competitions this course opened my eyes on how to do real ML on production. Great insights. Looking forward to the next course.

Nice introduction. This is the first time that I've realized that Cloud Shell is a micro machine, so it's not always necessary to spin up a VM.

Wonderful course for diving into production level Machine Learning. Good to learn the best ML/AI company in the world's philosophy on doing ML.

Specify the path to Machine Learning for a company, and with practical practice on Google Cloud Platform. It's easy to start with GCP ML APIs.