Normal_Flan_1269
Normal_Flan_1269 t1_iti100x wrote
Reply to comment by Red-Portal in [D] Machine Learning conferences/journals with a mathematical slant? by vajraadhvan
It’s literally called statistical learning theory
Normal_Flan_1269 t1_iti0m49 wrote
Reply to comment by Red-Portal in [D] Machine Learning conferences/journals with a mathematical slant? by vajraadhvan
None of those are useful for creating new statistical learning methods or pushing the boundaries of statistical learning as functional analysis, measure theory, real analysis, and statistics. Like cryptography is useless for developing new regularized regression methods, who gives a shit about complexity theory? Like you guys think ML theory and statistical learning is a CS branch. Like you guys coin the term machine learning and think it’s a branch of CS… very far from the truth. Mathematicians and statisticians have been running circles around you guys doing this for decades. Know your place
Normal_Flan_1269 t1_ithut4x wrote
Reply to comment by Red-Portal in [D] Machine Learning conferences/journals with a mathematical slant? by vajraadhvan
Yeah you learn systems design, not functional analysis, measure theory, and actual mathematics to do the derivations in statistical learning theory. Statistical learning theory is mathematics. Not just coding.
Normal_Flan_1269 t1_it641pn wrote
Reply to comment by Red-Portal in [D] Machine Learning conferences/journals with a mathematical slant? by vajraadhvan
So then your saying a cs major is the best major? All they learn how to do is code? How would you not need mathematical maturity to even make contributions to statistical learning theory. Like I would even argue a statistics major is more prepared than cs cause they have the background in stats with computing experience as well. Cs is just a software dev major.
Normal_Flan_1269 t1_it5yhim wrote
Reply to comment by Red-Portal in [D] Machine Learning conferences/journals with a mathematical slant? by vajraadhvan
That doesn’t make sense tho. Math majors have more theory than cs majors. Statistical learning definitely requires high levels of mathematics, like functional analysis. It’s a huge area in statistics.
Normal_Flan_1269 t1_isx9q5s wrote
Reply to comment by mietminderung in [D] Machine Learning conferences/journals with a mathematical slant? by vajraadhvan
Dude cmon stop playing. I’ve read some of these papers and the math is crazy. What math courses do you need
Normal_Flan_1269 t1_isvwxli wrote
Reply to comment by mietminderung in [D] Machine Learning conferences/journals with a mathematical slant? by vajraadhvan
Hey, I’m actually interested in statistical learning theory in grad school. What kind of math prerequisites do I need to be able to research statistical learning in a phd program?
Normal_Flan_1269 t1_irr4uqr wrote
Reply to [D] Simple Questions Thread by AutoModerator
Is a statistics departments research in nonparametric statistics and statistical learning considered “machine learning”? Is there overlap? [D]
A lot of the departments where I’ve seen “machine learning” research has been in computer science departments. However, I’ve seen a good number of statistics departments that have some sort of overlapping research areas, like:
“High dimensional statistics”, “nonparametric statistics”, “statistical learning”,
I was wondering if the type of research statisticians do in these areas is considered machine learning, or is it more so statistical methodology.
Normal_Flan_1269 t1_iti2r8e wrote
Reply to comment by Red-Portal in [D] Machine Learning conferences/journals with a mathematical slant? by vajraadhvan
Lol that’s so false. Undergrad stats is not nearly enough, not even undergrad math. You can get away with just knowing how to code a little bit but it’s way more math and stats. Cs majors are just trained to be software engineers and nothing else. I’m a math and stats major and run circles around them in AI courses because they don’t have any technical depth mathematically.