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學生對 Google 云端平台 提供的 Launching into Machine Learning 的評價和反饋

4.6
4,167 個評分

課程概述

The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training....

熱門審閱

OD

2020年5月30日

Amazing course. For a beginner like me, it was a shot in the arm. Excellent presentation very lively and engaging. Hope to see the instructor soon in a another course. Thanks so much. I learned a lot.

PT

2018年12月1日

This is an awesome module. It will open up so much inside story of ML process which is core of the topic with such a simplicity. It greatly increases my interest into this topic and this course :)

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451 - Launching into Machine Learning 的 475 個評論(共 476 個)

創建者 KimNamho

2019年4月12日

thank you

創建者 Edward H

2020年3月3日

The course content is fine. My big beef is with the last lab. Does not, will not run on loading the data. I experienced so much trouble that I looked into some guidance with the answer video. A character by character exact copy of the solution will not run to load the data. Total waste of time.

Yes, I realize that I was "cheating" by using the solution as my input to the lab. But after having tried (and failing miserably) to get the answer on my own, and not even being able to get past the very first hurdle, I had to try to get something working. I soon found that it wasn't just my lack of experience, since the provided solution did not work either.

創建者 Brennon B

2018年5月28日

Google has clearly put a great deal of effort into constructing and polishing this course. However, the certificate is really nothing more than a participation trophy. I understand that putting the course materials (videos, demos, etc.) are time-consuming. An exceptional course, though, needs to actually test that the learner has, indeed, learned. When all of the labs/assignments require nothing more than clicking through them, they fall far short in this respect.

創建者 Soroosh R

2019年2月15日

The instructors were talking most of the time in a monotonous way without showing proper slides or elaborating the materials. Overall it was a very poor introduction of the ML. The two labs were good, however it was surprising to me that they did not commented out the notebook codes!

創建者 Ragy A

2019年3月19日

Maths and ML stuff are explained very poorly... very rushed and people speaking are clearly reading from a script which makes it difficult to understand and follow on =

創建者 Ronnie R

2018年5月22日

instructor more plain and hard to hear so many math concepts just with words not visual enough, seems like instrctor is not breaking it down like the first course.

創建者 Anton R

2022年3月11日

At least make sure that all quiz questions have been mentioned in the course materials.

stochastic gradient descent is ONLY in the quizzes...

創建者 Srikar K

2018年5月1日

The LABs in this course did not work for me. I was not able to open DataLab in my Lab sessions. This is quite frustrating to me.

創建者 Anatoly D

2022年6月5日

Labs are slow and very shallow. Quiz questions are often either unclear - or the provided answers are simply wrong.

創建者 Sean S

2019年1月27日

The labs really just lay everything out for you, and don't challenge you to learn anything for yourself.

創建者 Kevin D B

2019年9月16日

It's covering a lot but brushing over things too quickly and using a ton of jargon.

創建者 Sebastian R

2019年10月19日

Weak: Long on telling you how great google is, short on technical skills.

創建者 Johny C

2020年6月29日

These are plain lectures. Ng's are way better.

創建者 Thomas V

2018年11月15日

No real implementation

創建者 Francesco C

2018年7月12日

labs not really useful

創建者 Ligeng X

2018年11月9日

Barely learn anything

創建者 Yaron K

2018年7月14日

It's unclear for who this course is meant. It mixes basics like train-validate-test with lectures that use machine learning terms that only have meaning to someone who has already knows ML terminology. If you're looking for a good introduction to ML - check out Andrew Ng's course.

創建者 David S

2019年8月16日

"Short History of ML" was good, if kind of light. The rest of this course is flaming garbage. Zero topic organization. Material is poorly explained. Labs are poorly detailed and in some cases don't work out of the box. Seriously, skip this course and take Andrew Ng's instead.

創建者 Mike W

2019年6月22日

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.

創建者 Arman A

2019年4月11日

Pros: Tensorflow is an excellent framework for deep learning

Cons :

1- The way this material is designed is 10 X SHIT

2- Either teach properly or don't teach at all.

創建者 Praveen K M

2019年2月17日

I'm not able to access the video lectures even though I purchased and completed this course 6 months back

創建者 Diretnan D

2018年11月5日

Too much scary information provided at once combined with the mindbending sql queries and data parsing

創建者 Ehsan F

2018年11月13日

This is the most superficial course I have ever taken. I just waisted my time.

創建者 Chi S S

2018年9月1日

Did not learn much! Poorly instructed courses.

創建者 Karim E

2018年8月8日

not well structured and lack handouts