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.
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.
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 : )