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- Miles Satori Chen
- STATS 102B
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Based on 6 Users
TOP TAGS
- Uses Slides
- Tolerates Tardiness
- Needs Textbook
- Is Podcasted
- Engaging Lectures
- Often Funny
- Would Take Again
- Snazzy Dresser
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
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AD
Miles is great! You learn how to use and implement a lot of machine learning algorithms.
Grading is as follows:
6 HW's each worth 6%: 36%
2 Midterms each worth 15%: 30%
Attendance Quiz (can watch video too): 10%
Campuswire 4%
Final: 20%
The HWs are not too difficult, as he provides example code that is similar to HW assignments for most of the problems.
The midterms and final are relatively easy, with the conceptual questions being the hardest part, though you can completely bomb that part of them and still easily get an A.
Overall, a great class.
After taking STATS 102A with Professor Chen, I was excited to have him again for STATS 102B, and he did not disappoint. While STATS 102A had a heavy coding emphasis, this class focused more on algorithms and the math behind said algorithms. For the midterms--particularly the second one--I was pressed for time, but that was the only uncomfortable part of the course. Having taking STATS 101C prior to this class, it was an enjoyable experience; 101C and 102B have quite a bit of overlap. In fact, I would term 102B as "coding 101C," which I enjoyed because it allowed me to better understand how these algorithms actually work rather than simply filling out a template with defaults. STATS 102B is one of the more important classes in the stats major, and Professor Chen made it a great experience.
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.
Miles is great! You learn how to use and implement a lot of machine learning algorithms.
Grading is as follows:
6 HW's each worth 6%: 36%
2 Midterms each worth 15%: 30%
Attendance Quiz (can watch video too): 10%
Campuswire 4%
Final: 20%
The HWs are not too difficult, as he provides example code that is similar to HW assignments for most of the problems.
The midterms and final are relatively easy, with the conceptual questions being the hardest part, though you can completely bomb that part of them and still easily get an A.
Overall, a great class.
After taking STATS 102A with Professor Chen, I was excited to have him again for STATS 102B, and he did not disappoint. While STATS 102A had a heavy coding emphasis, this class focused more on algorithms and the math behind said algorithms. For the midterms--particularly the second one--I was pressed for time, but that was the only uncomfortable part of the course. Having taking STATS 101C prior to this class, it was an enjoyable experience; 101C and 102B have quite a bit of overlap. In fact, I would term 102B as "coding 101C," which I enjoyed because it allowed me to better understand how these algorithms actually work rather than simply filling out a template with defaults. STATS 102B is one of the more important classes in the stats major, and Professor Chen made it a great experience.
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.
Based on 6 Users
TOP TAGS
- Uses Slides (4)
- Tolerates Tardiness (3)
- Needs Textbook (4)
- Is Podcasted (3)
- Engaging Lectures (4)
- Often Funny (3)
- Would Take Again (4)
- Snazzy Dresser (2)