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The article mentions https://www.coursera.org/learn/machine-learning https://www.coursera.org/learn/machine-learning does anybody know: - How much work is req

The article mentions https://www.coursera.org/learn/machine-learning https://www.coursera.org/learn/machine-learning does anybody know: - How much work is required by week? - Pre-requisite? - Programming language used? Other feedbacks?

Delmania 10y ago
There's no prerequisites, Andrew manages to make all the maths self contained. He uses MATLAB/Octave, and the assignments can take around 8 hours or so of work.
thibaut_barrere 10y ago
I'm currently going through the course (at week 5 at the moment). Work per week: can vary between 6 to 12 hours depending on the week and your background and willingness to dive into some demonstrations. Pre-requisite: first, you definitely need to save some quality time otherwise you'll drop out (I heard the completion rate is around 10%). I feel that having a bit of matrix computations, algebra background helped. Some parts are easy, other parts are harder (but YMMV). Programming language used: octave; while it's nice to work at that level of abstraction, I found the "feedback loop" very slow when you submit exercises, so in the end I used https://github.com/MOxUnit/MOxUnit https://github.com/MOxUnit/MOxUnit with http://entrproject.org/ http://entrproject.org/ to have a faster feedback loop (anyone can email me at thibaut.barrere@gmail.com to get more details). This is especially useful when dealing with vectorization of computations. Overall I found that the course is great for me (coming from an ETL, programming background with some solid maths exp at some point), and I'm learning quite a bit; a good introduction with a pragmatic viewpoint.
zzh8829 10y ago
I just finished the course last week. I really liked Andrew's teaching style and enjoyed it very much. The work load is light compare to on campus courses at my school. I strongly recommend anyone interested in ML/AI to take the course.

Delmania 10y ago

There's no prerequisites, Andrew manages to make all the maths self contained. He uses MATLAB/Octave, and the assignments can take around 8 hours or so of work.

thibaut_barrere 10y ago

I'm currently going through the course (at week 5 at the moment). Work per week: can vary between 6 to 12 hours depending on the week and your background and willingness to dive into some demonstrations. Pre-requisite: first, you definitely need to save some quality time otherwise you'll drop out (I heard the completion rate is around 10%). I feel that having a bit of matrix computations, algebra background helped. Some parts are easy, other parts are harder (but YMMV). Programming language used: octave; while it's nice to work at that level of abstraction, I found the "feedback loop" very slow when you submit exercises, so in the end I used https://github.com/MOxUnit/MOxUnit https://github.com/MOxUnit/MOxUnit with http://entrproject.org/ http://entrproject.org/ to have a faster feedback loop (anyone can email me at thibaut.barrere@gmail.com to get more details). This is especially useful when dealing with vectorization of computations. Overall I found that the course is great for me (coming from an ETL, programming background with some solid maths exp at some point), and I'm learning quite a bit; a good introduction with a pragmatic viewpoint.

zzh8829 10y ago

I just finished the course last week. I really liked Andrew's teaching style and enjoyed it very much. The work load is light compare to on campus courses at my school. I strongly recommend anyone interested in ML/AI to take the course.