Master Complete Statistics For Computer Science - I (Udemy.com)

I found this course very beneficial in advancing my level of statistical knowledge. It is a thorough treatment of mathematical statistics requiring: - knowledge of calculus up to Fourier and Laplace transforms - number series, especially the binomial expansion - good familiarity with combinatorics and complicated summations For the more advanced student, this is a good route to the next level of understanding but if you do not yet know what the Gamma function is, you may be better off with a more basic introduction as this is not a beginner-level course.

After watching this video, I achieved a comprehensive understanding of the concept it presented.

A course entirely for scholars. Good series of examples copied by the usual academic exercises but few practical and realistic examples on each topic explained. Many probability distributions treated without focusing on their use, what they represent, at least some graphics and table (non -existent here) and where these distributions are more in nature, in the science, in the field of engineering. A long and flat course, demonstrations of what has already been shown. Often boring reading of all the steps, not to mention the reading of the tables, cell cell ... ridiculous. A few more colorful slides would improve things and make the course more captivating. The images are worth much more than a thousand words. Now, what do I do with all these beautiful formulas? By the way, hundreds of slides who have to download individually ... but are we really practical and serious?

The course is one of best courses for anyone who wants to study computer science and machine learning. Thank you very much.

This course is just slide after slide after slide with the Instructor reading. The audio quality and the slide quality varies. Students don't seem very involved - 3 posts in the Q/A after several years and that's all. The second lecture goes through how to enrol in the course and the Coupon etc which seems strange as to see the lecture I am already on the course! This course - as is stated - is not for beginners, which is fine - it is just all very dry.

I think it is a little bit complicated, and I’m in the beginning of the course who knows in the end of the course my opinion will change

Amazing course. beginners friendly.

its very usefull and innovative and very thank you

Yes, it was wonderful, its been long I left this course, wow! Thanks for this course. I wish I had join this class since, but this nice, the examples are sufficiently satisfactory.

It is discouraging that the class is simply reading the material on the screen, rather than explaining it. I might as well just fast forward to the end of each section and read the screen and not waste the time having it read to me. Hopefully this is not the case throughout the whole course.