Mar 17, 2016
I really enjoyed all the concepts and implementations I did along this course....except during the Lasso module. I found this module harder than the others but very interesting as well. Great course!
Jan 27, 2016
I really like the top-down approach of this specialization. The iPython code assignments are very well structured. They are presented in a step-by-step manner while still being challenging and fun!
교육 기관: Pantelis H•
Apr 07, 2016
This is an excellent course. The presentation is clear, the graphs are very informative, the homework is well-structured and it does not beat around the bush with unnecessary theoretical tangents.
교육 기관: leonardo d•
Oct 28, 2018
Excellent course, the professors made it very easy to learn quite powerful technics like gradient descend and coordinate descend. I always saw them like black-boxes, but now, thanks to this course I not only understand how they really work, but I learned how to apply them to real data. This course was simply awesome.
교육 기관: Jafed E•
Jul 06, 2019
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand
교육 기관: Konduri V•
Dec 25, 2018
I really enjoyed learning through out this course. I did little bit struggle with Python but now I am a bot more confident to take on advanced programming in Python.
Thank you very much for offering course.
교육 기관: Hiral P•
Oct 09, 2018
I loved this course because of the detail understanding of the concepts. I was looking for a course which provide detail understanding of algorithms, and here I am. I am giving four stars for what has been given in detail, not five because I something is left ;) interpretation..
교육 기관: 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.
교육 기관: Phil O•
Dec 10, 2018
4.9 Stars really but had to round. Really enjoyable course and extremely well presented. As a working statistician/analyst this stuff hits on a lot of the import underlying logic that needs to be in your head when looking at real world projects. The 0.1 star drop is because some of the language in the questions can be confusing, an easy fix.
교육 기관: Mohamed A H•
Nov 27, 2018
This course is extremely awesome!
The instructors are really professional and straight to the point. The topics are explained clearly and the assignments are crucially useful because you get to implement the concepts and algorithms in hand. Actually, you can't find a thing that's not nice about this course, at least I couldn't ;)
교육 기관: Kunal T•
Dec 19, 2018
Extremely well designed course.
교육 기관: Ilias A•
Dec 30, 2018
Wow, just wow ! This course had a great scope, digging in on the concepts / methodologies that are crucial for regression, while at the same time discussing more general and always-present concepts of a machine learning task. A learning powerhouse ! I think i must pass it a second time, to really get into the details.
교육 기관: Manuel G•
Jan 01, 2019
Amazing course! Thoroughly enjoyed it, and really appreciated the level of detail in some of the theoretical concepts. Yet it also stayed within what's practically useful and had a good amount of hands-on implementation.
교육 기관: YASHKUMAR R T•
Mar 24, 2019
The mathematical proof and concept given behind lasso and ridge regression is awesome.
교육 기관: kripa s•
Mar 25, 2019
I must say it was great learning experiance. Everything releted to ML regression has been covered so eloquently.
교육 기관: akashkr1498•
Mar 28, 2019
please take care while framing assignment and quize question it is very difficult to understand what exactly u want us to do
교육 기관: Jenhau C•
Mar 31, 2019
Great course! Very good insight!
교육 기관: Christopher M•
Jan 26, 2019
Great course. You get to write the algorithms for OLS regressions, ridge regression, lasso regression, and for k-nearest neighbor models. The instruction even includes some optional graduate-level videos on with more detailed explanations of how more advanced algorithms for solving the regressions may be developed (eg, subgradients for lasso regression).
교육 기관: Yamin A•
Feb 10, 2019
Excellent course that is the second in this specialization. It goes beyond the Foundations course and delves further into utilizing machine learning with regression based methods. The course also uses Python. There is some requirement that you should have some degree of familiarity with programming, although you can pick up some skills in coding in Python even if you are not familiar with it (- I wasn't familiar with Python much, although I am familiar with other languages).
Overall, highly recommended.
교육 기관: Zhongkai M•
Feb 12, 2019
It provided practical details the are not described to much in others' courses.
교육 기관: Tahereh R•
Apr 02, 2019
Thorough explanations of the essential concepts are provided! Valuable course and lectures.
교육 기관: Ling Z•
Apr 09, 2019
I took this class long time ago and just revisited it today. Compared to other online class, this class has a lot details. I am satisfied with both the clarity and depth of the content.
교육 기관: Ayush K•
Mar 08, 2019
Great in-depth coverage
교육 기관: Akash G•
Mar 09, 2019
regression best now
교육 기관: Surendar R•
Dec 23, 2018
In Depth coverage of lot of concepts, fully enjoyed it! Recommended to anyone wanting to explore in depth concepts of regression.
교육 기관: Refael J•
Dec 23, 2018
Very good course. The lecturer is very good and the information is very comprehensive.
교육 기관: Francisco J•
Jan 20, 2019
A great curse focused on understanding the mathematics of the algorithms, clearly explained and detailed. Contains "advanced" optional topics for further learning and forces you to program you own algorithms.
Do not forget to save up the results and functions programmed in previous sections, as they might be required later in the course.