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Miles Chen
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Based on 143 Users
Participation on Campuswire is crucial so that you get full credit on that part of your grade. No homeworks are dropped, but they aren't too difficult either. Exams demand speed and thus decent familiarity with the material. Make good use of his study guides and thoroughly review his slides. He does not curve, so do study hard.
Tip: You might want to take notes during lectures, especially on discussions/explanations that are not on slides. This may help you streamline exams even faster.
Professor Chen is extremely caring and kind. He's willing to share his views on career planning, grad school and life philosophy. He loves teaching and explains stuffs well. His lecture slides are logically organized, easy to read and informative. Great instructor and awesome person.
This class was not easy, but it is very doable if you put in the work. Not to mention, Miles Chen is probably the best Statistics professor I have ever come across. His lectures are well organized and clear and his exams are very fair (plus, he has a cute dog which you may see if you go to live lecture). The homework projects took me some time, so I'd start early and not overload on other difficult classes. Overall I learned a lot in this class and I would gladly take any other class taught by Miles Chen.
The exam is really long and hard, he mislead students for some course logistics. Very complicated to succeed in this class. He apparently has favoritism and is willing to answer certain students' answers over others. I took stats 15 with this professor. Not recommended. ***k *** er
After taking STATS 102A and 102B with Professor Chen, I completed the 102 series with him. This class aligned closer to 102B than 102A, as the focus was on the algorithms and their implementation rather than having to code extensively (coding was still required). With the midterms, time was a small concern (especially for the second one), but Professor Chen allowed students to have notes with them, making things more manageable. The material of this course does have real-life applications, which was nice because we saw examples of how some of the algorithms used might be implemented outside of the classroom. Ultimately, Professor Chen explains the material well and engages the students, which is why I would recommend taking 102C (and the entire 102 series) with him, if possible.
Miles is a great lecturer. I think the course is a jump from 20, where there was a lot of hand holding. Now it is expected you use all your resources, including the internet. Be prepared for individual learning too (not all the answers are in the notes). Miles is helpful in OH and on Campuswire too. Great class!
This is probably my favorite class that I took at UCLA so far. Prof Chen has amazing notes and a very fair grading scheme. His homework is often kind of long but very manageable and useful. The final is worth only 25% of your grade and is a tad bit tough but as long as you do well on everything else, it is very manageable to get an A. Prof Chen is a goat!
Miles is one of the best professors at UCLA. This class was extremely useful and very manageable. He is a very engaging lecturer who cares deeply about his students. The finals are a bit rough, but he curves and adjusts grades so that it doesn't really matter in the end. 10/10 would recommend. Take this class, you will not regret it!
Great class. Good professor, though slightly overrated in my opinion (but I'd definitely take him again lol). Odd tests.
This is basically a ML class (less intensive maybe as CS). He uses his slides and explains well. He records it too.
We learn the standard algos like KNN, K means, Neural nets, EM algorithm, Bayes classifier, SVM, PCA and their math behind it. He teaches the concepts well and makes it extremely concise (dims it down to make it simple to understand, maybe too simple).
His homeworks are heavily weighted, so make sure to finish them well. 6 of them, each being 6%. The view quiz this quarter changed such that he'd provide the last one after the recording stopped to incentivize people to come in person.
The tests are pretty weird. They are easy and seem like high school style. The thing is he doesn't give much partial credit at all. And since the style is like high school, some questions about machine learning and long math calculations are all for a fill-in-the-blank. And so even with your work, you can end up getting 0. So double check your work.
Participation on Campuswire is crucial so that you get full credit on that part of your grade. No homeworks are dropped, but they aren't too difficult either. Exams demand speed and thus decent familiarity with the material. Make good use of his study guides and thoroughly review his slides. He does not curve, so do study hard.
Tip: You might want to take notes during lectures, especially on discussions/explanations that are not on slides. This may help you streamline exams even faster.
Professor Chen is extremely caring and kind. He's willing to share his views on career planning, grad school and life philosophy. He loves teaching and explains stuffs well. His lecture slides are logically organized, easy to read and informative. Great instructor and awesome person.
This class was not easy, but it is very doable if you put in the work. Not to mention, Miles Chen is probably the best Statistics professor I have ever come across. His lectures are well organized and clear and his exams are very fair (plus, he has a cute dog which you may see if you go to live lecture). The homework projects took me some time, so I'd start early and not overload on other difficult classes. Overall I learned a lot in this class and I would gladly take any other class taught by Miles Chen.
The exam is really long and hard, he mislead students for some course logistics. Very complicated to succeed in this class. He apparently has favoritism and is willing to answer certain students' answers over others. I took stats 15 with this professor. Not recommended. ***k *** er
After taking STATS 102A and 102B with Professor Chen, I completed the 102 series with him. This class aligned closer to 102B than 102A, as the focus was on the algorithms and their implementation rather than having to code extensively (coding was still required). With the midterms, time was a small concern (especially for the second one), but Professor Chen allowed students to have notes with them, making things more manageable. The material of this course does have real-life applications, which was nice because we saw examples of how some of the algorithms used might be implemented outside of the classroom. Ultimately, Professor Chen explains the material well and engages the students, which is why I would recommend taking 102C (and the entire 102 series) with him, if possible.
Miles is a great lecturer. I think the course is a jump from 20, where there was a lot of hand holding. Now it is expected you use all your resources, including the internet. Be prepared for individual learning too (not all the answers are in the notes). Miles is helpful in OH and on Campuswire too. Great class!
This is probably my favorite class that I took at UCLA so far. Prof Chen has amazing notes and a very fair grading scheme. His homework is often kind of long but very manageable and useful. The final is worth only 25% of your grade and is a tad bit tough but as long as you do well on everything else, it is very manageable to get an A. Prof Chen is a goat!
Miles is one of the best professors at UCLA. This class was extremely useful and very manageable. He is a very engaging lecturer who cares deeply about his students. The finals are a bit rough, but he curves and adjusts grades so that it doesn't really matter in the end. 10/10 would recommend. Take this class, you will not regret it!
Great class. Good professor, though slightly overrated in my opinion (but I'd definitely take him again lol). Odd tests.
This is basically a ML class (less intensive maybe as CS). He uses his slides and explains well. He records it too.
We learn the standard algos like KNN, K means, Neural nets, EM algorithm, Bayes classifier, SVM, PCA and their math behind it. He teaches the concepts well and makes it extremely concise (dims it down to make it simple to understand, maybe too simple).
His homeworks are heavily weighted, so make sure to finish them well. 6 of them, each being 6%. The view quiz this quarter changed such that he'd provide the last one after the recording stopped to incentivize people to come in person.
The tests are pretty weird. They are easy and seem like high school style. The thing is he doesn't give much partial credit at all. And since the style is like high school, some questions about machine learning and long math calculations are all for a fill-in-the-blank. And so even with your work, you can end up getting 0. So double check your work.