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: Konstantin K•
Jun 19, 2016
I was not aible to complete this course for free. That was very disappointing! Universities like Stanford and John Hopkins find the opportunity to offer similar courses free of charge to peoople who want to learn. From University of Washington I have expected the same. Your bad!
교육 기관: 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.
교육 기관: adam h•
Mar 09, 2016
gets way too in-depth with the math behind regression, to the point that it deters from the learning process. was hoping to learn better methods of interpreting or enacting regression, not the inner workings of the algorithms.
assignments got overly complex with confusing instructions. there are definitely some leaps made in the assumptions of what students' python capabilities are. vague instructions caused more frustration than desire to continue learning.
will continue in the specialization, but will not hesitate to drop out if instruction continues like this.
교육 기관: Ken C•
Feb 04, 2017
Not happy about course 5 & 6 got cancelled.
교육 기관: William S•
May 03, 2016
This course is structured around a specific and costly Python library called Dato. It is possible to do the homework without it, but it is EXTREMELY difficult to do so. If the course wasn't structured around using Dato, it would be a lot simpler and a easier to complete the assignments. Also, a lot of the mathematical notation was written in a kind of psuedo Python code that made things confusing sometimes.
교육 기관: Mats W•
Dec 17, 2016
The lecturers try to keep the instructions basic and pedagogical. Pretty good. Everything in this revolves around a tool graphlab create. Not so great, I think. It is not free (you get a one year licence) and hides all the action from the user. I don't like that the course then makes me feel that I must rely on a specific product to solve problems.
교육 기관: Ehsan M•
Mar 11, 2018
The teachers have a great success in developing Tori, but, the teaching is not good. The way machine learning is presented is mixed, and all over the place.
Not worth to put time on