week-1 Introductions
Hey, everyone!
When I go through the course I get a feeling of familiarity to concepts but still have a sense of not understanding them and have especially troubles with memorizing them.
I tried to use Coach in order to get more “tests” and almost never fail questions.
But when it comes to practice, especially trying to approach common probability problems, I don’t have enough understanding to solve them.
So it feels like course just give you a feeling of knowing rather than actual knowing. Or does it disappear in the end of the course? Or maybe I need more materials?
This may be an unanswerable question. Of course the answer also may be different for different students, depending on each person’s particular background.
Maybe from a practical standpoint, the thing to do would be to proceed with the actual ML courses here (MLS followed by DLS) and see if you find that you understand Prof Ng’s presentation of the ideas there. I don’t recall any places where there were difficult concepts based on probability theory. I hope that your experience will be similar. In other words, maybe the M4ML Probability course was “good enough” preparation, even though you may not be feeling certain about that at this point.
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That is an accurate assessment of this specific course.
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Probability and statistics in general isn’t easy topic, even if one understands what is being taught, the confidence to the application of the practical task comes with practice.
Like in my college when I had these classes, I understood the concept but they didn’t taught us much with example scenarios of calculations.
I gain more confidence in my post degree preparation for advanced studies where we were given task or questions to solve, and our teacher used to discuss the answer after we solve the queries, this way we understood where we are going right or wrong. I also did some other online course on Coursera related to public health specialisation which again helped me gain hold on some concepts but believe re-revising these topics is always a good step to get used to probability and statistics, even calculus I only practice in my high school days, the good part was I was interested in mathematics as well, so it helped in the long run. Sharing this journey, so you understand we all are in same boat, so keep learning and practice, don’t give up.
So if your issue is in particular with these calculations, then I can suggest you those course, but if the issue is more about not able to understand the python programming application of this topic (as I see.you are new to this community) then what Paul is suggesting is good next step to gain confidence. In case you are new to python programming, the. taking AI for Python Beginners is a really good concept to understand from basics.
Regards
DP
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I appreciate your advice. I joined this course because I already had some experience with ML projects, and my goal was to gain a better understanding of how models behave. Without any foundation in probability theory, it all felt like a black box to me. Still, I’ll try to follow your advice and see how things turn out after finishing the course.
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Thank you for sharing your experience - I really appreciate it. It’s always encouraging to hear how others have navigated similar challenges.
In my case, the issue is mainly with the calculations and understanding the underlying concepts, not with the programming part. I’m already comfortable using Python, so my main focus is on building a stronger foundation in probability and statistics.
Thanks again for the support and encouragement!
coursera has course more focused on probability and statistics
See this one course
or there was statistics with SAS which was my best experience of beautiful explanation of regression analysis but these two courses aren’t in python programming
Hope this helps
Lastly keeps practicing the questions yourself on a notebook, if you can find a discussion group studying same topic, it might help you more.
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