18 авг. 2019 г.
The course was well designed and delivered by all the trainers with the help of case study and great examples.
The forums and discussions were really useful and helpful while doing the assignments.
16 окт. 2016 г.
Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much
автор: Luis F A C•
5 дек. 2020 г.
Aprendí muchas cosas interesantes. Actualmente es grande la dificultad para realizar las prácticas de programación con la librería que usan "graphlab" la cual no se relaciona my bien con windows.
автор: Tom v S•
5 июня 2018 г.
In and of itself, the content of the course was pretty good. However, after working through 2 deep dive AI courses of each 6 months, obviously this particular course was not much of a challenge.
автор: Diego A•
24 окт. 2016 г.
The Professors and the lectures were excellent. Homeworks are way to easy. Would like to use open source tools like pandas and sci-kit learn instead of proprietary tools like graphlab.
18 мая 2020 г.
I cannot download all the software needed specifically Turicreate, despite the provided link it shows never-ending errors, after a week of trying I had to give up the course since.
автор: Kenny J•
21 мая 2020 г.
This course needs to be updated. It's hard to follow the notebooks since the lecture was on GraphLab, and some of the explanations were not elaborate enough, especially Week 6.
автор: Zein S•
17 янв. 2018 г.
I like more to work with sklearn rather than GraphLab..
Actually many recommended this course to me, and I expect more excitement in the next courses in this specialization
автор: Jonathan O•
14 апр. 2021 г.
Pros : You will get a great fundamental conceptual understanding of basic ML concepts and practical implementations.
Cons: Using Turicreate over sci-kit learn and tensorflow
10 мар. 2016 г.
I don't like this course , because the homework can not match the lesson. I can not got more messages to completed the homework.
So I will Unregister this courser , Thanks.
автор: Cranchian P•
22 мар. 2022 г.
There are still many errors and corrections to be made in practical application part and reading parts.
The conversion from graphlab to turicreate is not complete at all.
автор: Morteza M•
20 нояб. 2016 г.
The only reason that I am giving 3 star is the design of the quizzes for each week. The readings are too long and the content of the quiz sometimes gets you frustrated!
автор: Chih W L•
19 сент. 2016 г.
Professors are very good , i am really enjoy in this class, but no further discussion about implementing ML algorithm, just call the API to handle the sort of data.
автор: Zhongyi T•
9 мар. 2016 г.
The lectures are fine. However the content is way too easy. Another course on Coursera `Mining Massive DataSets` is much better, in the depth and horizon.
7 окт. 2018 г.
App needed to complete assignments ceased to function early on - forum / admin did not help to find solution. Otherwise good intro to get started with ML.
автор: Deleted A•
5 июня 2016 г.
Generally ok. Towards the end of the course, the lectures could have been a bit more in depth - or provide students with a more in depth reading list.
автор: Kai W•
21 нояб. 2015 г.
I think this is an excellent course. I would have given 5 stars if this course is not based on Graphlab which is not affordable to the general public.
автор: Murat O•
28 янв. 2016 г.
Gives a really broad overview of ML concepts. Examples (and assignments) use a commercial Dato product called (GraphLab Create). Expect nothing else.
автор: suresh k p•
28 июля 2018 г.
Nice explanation of basic ML but I would suggest please provide the practise tool with proper integration.That is a big headcahe in this course.
автор: Paul C•
24 нояб. 2016 г.
A solid course, let down by quality issues in the last two modules. I hope these are fixed soon because it would make this a top notch course...
автор: Jawahir M A K•
17 июля 2020 г.
It will give you an overview about the ML concept. But to get detail we need to have the specialization course or learn it our self.
автор: Kristoffer H•
8 июня 2016 г.
Get ready for a course that assumes you have all the software they use already installed without advanced notice or instructions!
автор: Nouf A•
26 мая 2022 г.
some of the video content is old, and some of python functions explained gives errors as it have changed and command is updated
автор: Abiodun M•
18 мар. 2018 г.
Very good course; except the bugs in Graphlab with reference to .apply and lambda workers command . This needs to be fixed.....
автор: Corey K•
11 мар. 2016 г.
All algorithms were black boxed. It was a nice course on how to use Dato's GraphLab and an overview of ML concepts.
автор: Michael B•
2 нояб. 2015 г.
Fun lectures but the coverage is too simplistic. Looking forward to the more in-depth courses in the specialization.
автор: Aleksei Z•
16 янв. 2020 г.
Materials from video differ from the web ( in videos graphlab, in materials Turicreat), including home assignment.