OD
30 de may. de 2020
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
1 de dic. de 2018
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 :)
por Ayman S
•26 de jul. de 2019
The instructor made several mistakes in reading the code like when he read the size of the file and interpreted as the number of records.
por Abdullah K
•14 de jun. de 2019
some ideas discussed need further elaboration, and there should be a set of slides provided or notes that summarizes the key concepts.
por zios s
•3 de oct. de 2019
High level of Machine learning algo and its implementation in cloud using Bigquery. simple but required in upcoming courses.
por Afreen F
•22 de nov. de 2018
Theory is all good and important. Lab could have been made more challenging and not just mere marketing of Google products.
por PLN R
•9 de dic. de 2018
It was quite an insightful and playful way to learn about how the world's biggest AI company deals with AI problems!
por Aditya h
•10 de ago. de 2018
Detailed overview of Data Preparation for ML, however it just gives a walk through of a single example on Big Query
por Taewoon S
•22 de oct. de 2019
overall very useful to get into ML world.
But in the lab, couldn't run the re coded set as instructed.
Thank you!
por Franco G
•22 de dic. de 2019
Overall is a good course. I'll suggest to improve the algorithms description, also go slow in code deployed.
por Sinan G
•12 de ago. de 2018
Nice reviews and explanations, could be improved a little by ensuring students to write code themselves.
por Suresh T
•17 de jun. de 2018
Some of the lecture has only talking, would be better if it got included more slides/reading materials.
por Peter H
•21 de jul. de 2018
Great to get some theoretical background on machine learning as well as some practical experience
por Hasan R
•3 de jun. de 2018
Along with the complete codes, should also have some hands-on exercises for students to work on.
por Diego A B M
•19 de mar. de 2021
Muy bien explicado, los quices relacionados con los temas vistos anteriormente y los Notebooks
por Cathryn S
•23 de jun. de 2020
Good lectures, but the labs are very directed which makes it hard to learn much from them.
por Jonathan A
•8 de ago. de 2018
Not very academically robust, but a nice quick intro to some of the real concepts of ML.
por Zhenyu W
•2 de ene. de 2019
A teacher's presentation skill needs to be improved. His speaking sometimes is blur.
por Edward B
•20 de abr. de 2020
Pretty good overall, missed the point of the labs a bit until I watched the review.
por 令安 趙
•8 de oct. de 2019
I hope for traditional Chinese ver. subtitle for those who are not good at English.
por Hussain S K
•14 de jul. de 2018
It would have been better if there was a separate module with hands-on lab of SQL.
por Jitender S V
•26 de jun. de 2018
Starting assignment is a pain. AWS is relatively faster. Nevertheless good course.
por Alex C
•16 de may. de 2020
An interesting overview which explained some concepts well - good as a refresher
por 백규렬(BAEK G
•23 de abr. de 2019
강좌의 내용은 매우 유익한 것 같다. 하지만 머신러닝에 대해 처음 접하시는 분은 이 강좌를 접할 때 어려움을 겪을 수 도 있을 것 같다.
por Pavan e
•7 de may. de 2020
it would be much better if there is a section about bigquery and its syntax
por Hassan H
•2 de mar. de 2019
Everything worked great except the labs would not work. Had login issues.
por Rahul K
•3 de may. de 2019
Phew ... that take a time to sink in but a good approach from google : )