Jun 15, 2020
A very deep and comprehensive course for learning some of the core fundamentals of Machine Learning. Can get a bit frustrating at times because of numerous assignments :P but a fun thing overall :)
Oct 16, 2016
Hats off to the team who put the course together! Prof Guestrin is a great teacher. The course gave me in-depth knowledge regarding classification and the math and intuition behind it. It was fun!
von Vladyslav P•
Apr 17, 2016
Extremely highlevel, quality of the material is significantly lower than in the previous courses.
von Enrico R•
May 15, 2016
Course is too slow to keep focus, it's repetitive but not clear when it's really needed.
von Liliana V P G•
Apr 13, 2016
The classes are not practical, and the voice of the teacher is very monotone, boring.
von Gaurav B•
Jul 04, 2019
Explaination Is Not good I have to take help from other courses
von SYED M I•
Apr 16, 2020
von Ernie M•
Sep 25, 2017
I enrolled in this specialization to learn machine learning using GraphLab Create. Half way into the specialization the creators sold Turi, GrapLab's parent company, making it non available to the general public (not even by paying) and then all the knowledge devalued. I wish I had known this and I would have enrolled on a different specialization. The creators still give you the possibility of using numpy, scikit learn and pandas but I had already done a lot with GraphLab create. The time I invested on my nights after work became a waste. I was trying to convince the company I worked for to buy licenses for GraphLab create.
Coursera should not allow folks to create courses that promote a private license course because it would make people waste their time and money if they decide to privatize the software.
Don't take this course, and if you take it then only use GraphLab create when the authors give you no other option.
Teaching style: Carlos was good, Emily is not very clear and loses focus of the topics and often rambles. She seems very knowledgeable but she lacks clarity of exposition when compared to Carlos or Andrew Ng.
von Charles G•
Aug 12, 2016
I was pretty disappointed with this course. Firstly, the course did not seem well balanced meaning that some weeks--particularly week 2--had A LOT of materials to watch and really felt like it was two weeks crammed into one, and then other weeks barely had anything.
Secondly, the exercises seemed unclear, poorly thought out and not really helpful. There were many errata that really should have been fixed in the beta iterations of this course.
Thirdly, I really would like to see more application and less discussion of implementing algorithms.
Fourthly, the "scaling" section was also a major disappointment. While it is mildly interesting to learn about stochastic gradient descent, I think it would have been more interesting to have a discussion about how classifiers work in a parallelized computing environment or actually to try one out using Spark.
Finally, given that GraphLab/Dato/Turi was just acquired by Apple, I question whether it is worthwhile to take this course as ALL the materials are taught using a library that in all likelihood will cease to exist.
von Yukai Z•
Jun 03, 2016
The videos are fine. But, It's SIMPLY TERRIBLE to force people to pay to be able to do the quizzes. There was no such a thing in the first two courses (by the way, I gave high rates for both). It is OK to pay for the verified certificate, however, disabling the functions in the course is a wrong way to earn money, because people who want to learn the course might not necessarily want the certificate, and this is unfair to them because it limits the resources available. This whole Specialization thing starts to make me feel like you guys are in urgent need of money, rather benefiting the community. Remember there are tons of free resources on the internet, and this only undermines your strengths. You will lose tons of potential fans. Stop being seemingly arrogant.
von Eugene K•
Feb 10, 2017
If you are considering this specialization I would recommend the Andrew Ng course instead and the main reason is that it isn't depend on proprietary ML framework. Despite the good lectures, the assignments don't help you develop the knowledge required for ML developer role.
Taking in consideration the permanent postponing the courses delivery, from summer 2016 to summer 2017, finally the most interesting part of the specialization was cancelled. I'm completely disappointed with the specialization learning expirience.
von Ehsan M•
Mar 22, 2018
very Vague and in efficient in transferring the knowledge. Teachers have tendency to overcomplicate very simple ideas to look more mathematically in-depth. It is not true and just causes confusion. I ended up to look only on slide and do the exercises rather than watching their videos
von NIKHIL K S•
Sep 07, 2018
The Course is not of the said level and is a very convenient way of promoting their software, the faulties are non responsive n the forums
von Christopher O•
Oct 20, 2020
Could not install required software (turicreate library for python) in a Windows Environment. The course should be explicit about that.
Jan 04, 2017
This specialization is delayed for months now - very annoying! Don't give them money!
von Adrien L•
Feb 02, 2017
No good without the missing course and capstone projects
von Grzegorz N•
Mar 15, 2016
After 2 great courses this one is really disappointing!
von Ken C•
Feb 04, 2017
Not happy about course 5 & 6 got cancelled.
von Simen K R•
Jul 13, 2017