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6/10 starsTaking Now
2 years, 10 months ago
This course takes a great stab trying to teach probability while pairing it with an understanding of how to use computation to make it all better. That said- they may have oversold how much of an intro cou... This course takes a great stab trying to teach probability while pairing it with an understanding of how to use computation to make it all better. That said- they may have oversold how much of an intro course it was. They are clear about the python experience, but a really great probability/stats course should probably be in your pocket as well. I found the advice of the other poster, completing MITx: 6.041x Introduction to Probability , to be very useful. That course I agree is a "master-piece". I've paused my progress in this course to go complete 6.041x first, and then intend to return here so that I maximize my understanding. Still-great course, and very appreciative for the effort in making this knowledge open!
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Borys Zibrov profile image
Borys Zibrov profile image
10/10 starsCompleted
  • 9 reviews
  • 8 completed
2 years, 4 months ago
Well, I really love courses that are challenging, that make you think, that leave you with a feeling you know little indeed, that give you this sense of victory after periods of frustration. But of course, t... Well, I really love courses that are challenging, that make you think, that leave you with a feeling you know little indeed, that give you this sense of victory after periods of frustration. But of course, there are people that hate that. So, I give 5/5, some will give 1. But well, I quickly forget stuff that I learn, and if I don't have to think much about the problem it will be gone in a week, in a month, not with the problems in this course. So, course is roughly divided into 3 parts: probability intro, learning HMMs and inference. Intro to probability was very steep and left me with the sensation I have to take that other great MIT course on probability mentioned here in reviews (6.041x). I liked the instructor and the videos, he was really passionate about the subject and active in the forums (I was lucky to catch the start of the session) which made it so much more fun to learn. Exercises were challenging and there was quite a great deal of code to write so often I had to stay up until late at night, plus there were also quizzes where one had to calculate by hand. I usually do not read mooc forums as it's often easy to complete exercises myself but during this course I used forums a lot because very often I had no clue what should I do in the exercises or in what direction should I proceed (and seems like I was not alone). Yes, it was often frustrating but I learnt and understood much more in the end. Also, there was an interesting time series analysis project in the end of the course but it was optional and I didn't have much time as it was holiday season so I just made sure forward-backward algorithm doesn't work with that data and didn't press it through the end, but it was an interesting challenge as well. To sum it up, I'm very grateful to MIT, instructors, and all the course participants for this wonderful opportunity to learn.
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