f*********y
发帖数: 376 | 1 I find a lot of overlap between this two courses...
If I can only choose one, which one I should take?
I prefer ML. |
f*********y
发帖数: 376 | 2 any comments?
I do not want to take alg since I think I can learn it by myself and I also
learned it when I was in China.
【在 f*********y 的大作中提到】
: I find a lot of overlap between this two courses...
: If I can only choose one, which one I should take?
: I prefer ML.
|
p*********e
发帖数: 303 | 3 data mining is more practical.
If you want to publish paper in data mining area, ML is necessary.
also
【在 f*********y 的大作中提到】
: any comments?
: I do not want to take alg since I think I can learn it by myself and I also
: learned it when I was in China.
|
c*******f
发帖数: 85 | 4 Prefer Data Mining, more useful |
f*********y
发帖数: 376 | 5 reason? I check the slides of both courses, it seems that ML covers more
material and data mining only cover a small part of ML course.
【在 p*********e 的大作中提到】
: data mining is more practical.
: If you want to publish paper in data mining area, ML is necessary.
:
: also
|
s****d
发帖数: 56 | 6 Data mining is born from the database area and focuses how to speedup a
simple algorithm (e.g., Apriori, FP-tree, DBScan), while machine learning is
born from the AI area and focuses on how to build a more accurate model
from the known data (e.g., neural network, Bayes, SVM). |
f*********y
发帖数: 376 | 7 i see, thanks
is
【在 s****d 的大作中提到】
: Data mining is born from the database area and focuses how to speedup a
: simple algorithm (e.g., Apriori, FP-tree, DBScan), while machine learning is
: born from the AI area and focuses on how to build a more accurate model
: from the known data (e.g., neural network, Bayes, SVM).
|
k******a
发帖数: 2436 | 8 data mining is hot
machine learning did not have any real breakthroughs for many years.
【在 f*********y 的大作中提到】
: I find a lot of overlap between this two courses...
: If I can only choose one, which one I should take?
: I prefer ML.
|
x*********g
发帖数: 15 | 9 No intention to offend,
could you outline some breakthrough of data mining in the recent few years?
Thanks.
【在 k******a 的大作中提到】
: data mining is hot
: machine learning did not have any real breakthroughs for many years.
|
k******a
发帖数: 2436 | 10 None taken. I am not a research guy so I can only talk about industry.
Big Data? BI/Predictive Analytics has been hot for some time now.
On the other hand, AI is probably the slowest area for many decades now.
?
【在 x*********g 的大作中提到】
: No intention to offend,
: could you outline some breakthrough of data mining in the recent few years?
: Thanks.
|
L********d
发帖数: 3820 | 11 AI != Machine Learning
Data Mining和ML也是紧密联系的，很多data mining的理论和idea都来自machine
learning
【在 k******a 的大作中提到】
: None taken. I am not a research guy so I can only talk about industry.
: Big Data? BI/Predictive Analytics has been hot for some time now.
: On the other hand, AI is probably the slowest area for many decades now.
:
: ?
|
d*****u
发帖数: 17243 | 12 我感觉很久很久以前，data mining和machine learning几乎是同义词
后来machine learning的主流走了统计的路子，
而data mining保留原来的味道
还有就是怎么把一些现实情况转化成可计算的data
也就是representation的问题，
可能machine learning的人做得要多些，但是也不尽然
还有,machine learning的人用bayesian statistics的比较多
而在统计学领域里，bayesian和frequentist是有斗争的
【在 L********d 的大作中提到】
: AI != Machine Learning
: Data Mining和ML也是紧密联系的，很多data mining的理论和idea都来自machine
: learning
|
