Oct 17, 2016
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
Dec 20, 2016
Great course!\n\nEmily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.
교육 기관: Christopher W•
Oct 15, 2015
The fact that the class uses GraphLab instead of pandas/numpy/sklearn should have been stated up front
The course felt like an advertisement for the professor's toolkit
It was very disappointing that the equivalent standard workflow was not supported
교육 기관: Ken C•
Feb 04, 2017
Not happy about course 5 & 6 got cancelled.
교육 기관: Shane C•
Nov 16, 2016
I did not find the course very good. I came into the class with only real basic knowledge of Python and I was hoping to be able to pick up more as part of this class. WHile I might have picked up more, it was only because I used resources outside the course.
The video instructions in programming in Python left quite a few gaps to figure out by reading documentation. The videos themselves were divided into two sections -- first a theoretical or classroom like section and a second a lab/programming section going over some coding in Python. The 'classroom' type lectures were pretty reasonably good. But the lab/programming were pretty terrible.
They instructor really break down the syntax of the code and just left the student to figure it out. This made being able to take this code and to adapt it to other uses very difficult.
I would not recommend this as a course to help learn Python.
교육 기관: Shalini G•
Dec 04, 2018
Nice course to understand the basics of Machine Learning
교육 기관: Zohaib M•
Dec 05, 2018
very good and excellent course.
교육 기관: Xue•
Dec 02, 2018
교육 기관: AMAN M•
Dec 18, 2018
I was totally new to the machine learning, but this course helped me to understand what is it? What is the importance of it ? where it can be used and what will be the future of it ? There was also enough exercise work to check our understanding to the topic learnt. I think it will be more interesting if they provide a console for code snippet for the assignment... It was very nice experience with Carlos Guestrin Sir and Emily Fox Ma'am
교육 기관: Muhammad A N•
Dec 06, 2018
교육 기관: Christopher M•
Dec 07, 2018
This was a great course. The instructors were fun and knowledgeable and the assignments were well-written. I loved the flexibility of being allowed to use whatever software I wanted to solve the ML assignments since the quizzes were based on the results of the modeling rather than submitted code. For some assignments I used sklearn and for others I used the software recommended by the instructors (graphlab).
교육 기관: Md R A•
Dec 11, 2018
교육 기관: Jungshen K•
Dec 12, 2018
Very comprehensive and hand-on fashioned course, recommended!
교육 기관: Divyansh S•
Dec 25, 2018
I found this course advantageous for me. I found the case study approach of teaching the various concepts of Machine Learning quite helpful. Case Study approach gives us the idea of practical implementaton of these concepts in real life. The quality of the teaching content was very good. Moreover the assignments helped a lot in understanding some of the key concepts. Ideal course for newbies to start learning Machine Learning.
교육 기관: Manu S•
Jan 02, 2019
Excellent course. Explained all the ML concepts in detailed and easy way.
교육 기관: Lukasz W•
Jan 01, 2019
Very good as an introduction to the further learning of ML
교육 기관: Ezra S•
Jan 01, 2019
The only way these courses could be better if there were far more of them from the same professors. If more of the nitty gritty details of these algorithms were fleshed out in all their glory, more algorithms, more mathematical derivations & more tutorials in the programming languages & libraries used. Otherwise, these MOOCs are near perfection. A very, very nice introduction for beginners with just a little bit of math & not too much programming. Just enough for busy people. I've reserved that 5th star due to the slow pace that the MOOCs have been released (which will presumably be irrelevant for future machine learners) & the fact that there really needs to be more of these very high quality moocs. So there aren't enough of them, so I reserve a star. Hopefully in the future that will be irrelevant as well in which case I'll regret not indicating 5 stars.
교육 기관: Lokesh K•
Jan 27, 2019
I appreciate the effort you kept for this online course.Actually I enjoyed learning here.But you can be little bit more detailed in the ipython notebook code explanation. Otherwise ,this is the best course .
교육 기관: DIVYANSH S•
Feb 03, 2019
교육 기관: Aleksander S•
Feb 01, 2019
This is a great course. The content is delivered at a very good pace even for people with little prior knowledge of statistics or computer science — not too fast (would be too difficult) and not too slow (could become boring). Additionally, the assignment model is perfect — it requires completing hands-on exercises, but then the solution is assessed using simple quizzes. Thanks to that the answers and the grades are immediately available.
교육 기관: Walt M•
Feb 04, 2019
create videos and hands on practices
Neural network part should be enhanced with more common frameworks, such as TensorFlow/Keras
교육 기관: Pavan B•
Nov 20, 2018
What an amazing way to start the course. After first module, we know a little bit about every specialization topic. Great material.
교육 기관: Ankita M•
Nov 20, 2018
great content and good exercises
교육 기관: Satish K D•
Nov 25, 2018
Very informative in basics of Machine Learning. It sets the stage for a deep dive into the topics of machine learning like Regression, Classification, Clustering etc.
교육 기관: Kripakaran R•
Nov 10, 2018
Some of the informations are half baked, hope to see them in future classes.
교육 기관: Myoungsu C•
Nov 26, 2018
It was a great introduction!
교육 기관: Sanjiban B•
Nov 27, 2018
Great course. Thank you.