One thing that is different for me is that the research and "supervisor dating" had started from day one. I think this is case for most phds.
@weisanpang71735 күн бұрын
Worst explanation.
@JoelRosenfeld5 күн бұрын
@@weisanpang7173 wow ok. How do you think it can be improved?
@weisanpang71735 күн бұрын
@@JoelRosenfeld some may find your explanation great for them, so this is only my opinion. You spent quite some time commenting on chatgpt explanation on compact sets, that is not helping for me to understand the topic, and quite wasting time. When you actually got into topic, i found that it was unnecessary complicated, compared to most other videos on this topic.
@weisanpang71735 күн бұрын
You responded to comment for a video that's already 1 year old, i believe your channel will take off just fine.
@JoelRosenfeld5 күн бұрын
@@weisanpang7173 not really concerned with taking off. I have a great career already. But I do put a lot of effort into these videos, so I am open to outside input. I appreciate your critique.
@kirkb26656 күн бұрын
This story is completely misreported. To actually understand the math theory read this article: "Is a Trigonometric Proof Possible for the Theorem of Pythagoras? " Michael de Villiers RUMEUS, University of Stellenbosch
@JoelRosenfeld6 күн бұрын
@@kirkb2665 what do you think I misreported?
@kirkb26656 күн бұрын
@JoelRosenfeld You didn't misreport it. The journalists did. The original Articles state that they solved an "impossible" 2,000 year old problem. However, the "impossible problem" still hasn't been solved by them or Jason Zimba. In the late 1800s a mathematician named Elias Loomis said it was impossible to make a proof of the Pythagorean theorem using trigonometry because that would be circular reasoning. He said this because he defined trigonometry using the Unit Circle definition of Trigonometry. If you define trigonometry using the Unit Circle then he is right and it is impossible to make a valid trigonometric proof of the Pythagorean theorem. However, you can arguably define trigonometry using symmetry. Not all mathematicians would agree, but if you accept the symmetry definition of Trigonometry as valid then you could say Jason Zimba's proof and these girl's proof is a valid Trigonometric proof. The problem with that is many other proofs could also claim to be Trigonometric under the symmetry definition of Trigonometry and then these girl's can't claim to have solved an unsolved problem or a problem that has only been solved once before. Their proof is one of many and the impossible Trigonometric proof that is valid with the Unit circle still doesn't exist.
@calflo75848 күн бұрын
Well done Ne’Kiya Jackson and Calcea Johnson!!!
@Zopeee9 күн бұрын
In Germany we start with Analysis in the First semester and it realy is something else having switch from school math to proving everything.
@JoelRosenfeld9 күн бұрын
@@Zopeee yeah it’s quite the transition! I know a lot of people that bailed on math when it switched to proving things. That’s when things got fun for me, but it did take a bit to get used to
@MathIguess11 күн бұрын
This is .. my (currently only) video, but better.. I'm sad xD good work. Too bad I only saw it now.
@Unreality_Rooms12 күн бұрын
Hey man I really like the mindset of exploring prioritized over prize! I took on the conjecture and found a pattern all sequences might follow!! Take the stopping time (iterations to get to 1) minus 1. Then, subtract the number of right triangles formed by the graph (the graph is my little secret approach) and you will always get a number that, if smaller than 6, can be multiplied by something to get 6, or if larger/equal than 6, can be divided by 6 with no remainder. The product of the points along the hypotenuses of the triangles multiplied in order also always equal a number that can be divided by 6 with no remainder. When an idea of mine failed, I took another from the fountain of ideas. Check each idea off if it fails one by one until you strike gold!
@Nobody-hs9cl18 күн бұрын
Do we really want to know how some random clown failed at a mathematical problem that is considered to be one of the most difficult in mathematics? No, really not! I'll make a video soon: "How I peed past the toilet..."
@JoelRosenfeld18 күн бұрын
@@Nobody-hs9cl the point to pursuing problems like this isn’t always to solve them. The actual objective of the video is to present a structure for the numbers that satisfy the conjecture
@iangohzien2430Ай бұрын
IF I did not did well in my Ordinary Differential Equation class, do you recommend to take this class in my senior year?
@JoelRosenfeldАй бұрын
You should definitely review your ODEs and initial value problem stuff. But really only a small part of Numerical Analysis involves ODEs. A lot of it is about polynomial approximation, estimating derivatives, and integrals. But it all also depends on your instructor.
@YohodaifyАй бұрын
It should be noted at 6:49 that if exactly one of the denominators s2, t2 is negative then it does not hold that s < t implies s1t2 < s2t1. However, the lemma still holds because if exactly one of the denominators is negative, we can take the -(s2t2) root of the inequality b^(-(s1t2)) < b^(-(s2t1)), and the rest follows.
@tonywang7933Ай бұрын
I tried to learn from the video, but still too hard for me, so I read the textbook you referenced. It was excellent, I understood everything from page 1 to page 15, which answered the exact question I have in mind. But on page 15, it says: "The minimum mean square error is given by those weights that result in zero first derivatives of the kriging variance." I would like to know if you can do a rigorous proof on this claim. Thank you.
@chindianajones3742Ай бұрын
surely you didn't use Dummt and Foote for first year algebra? :o
@AliBadaraTraoreАй бұрын
The best book by all means in rigorous one variable, is Understanding Analysis by Stephen Abbott. It has classical proofs (triangle inequality, etc), well motivated and historically intuitive, shows strategies and skrach work of proofs (how to choose an epsilon and when to split it, when contradiction proof is better than direct and vice versa, etc), 10 exercises at the end of each subsections (and not at the end of the chapters), etc. It is very good for self-study and can be read even without an intro to proofs class as Abbott aims also to introduce readers to proofs writing and rigorous intuition (recognizing what in a definition can be used to justify cases). The final chapter introducing more variables cases and metric spaces. And just 300 pages. No solutions, but Abbott explanations are so clear that you can see if you are in the good of bad way ; and as the cases are very classic , every maths forum can tells you if you are wrong or not. With Abbott you’ll "Understand" Real Analysis.
@thnxm8Ай бұрын
dude your understanding is deep. wow
@JoelRosenfeldАй бұрын
Thanks! It helps that this is closely related to my PhD work. I will probably have more on this topic come out over the next year or so, whenever I feel up to making videos again
@pierattiliodigregorio3064Ай бұрын
Finally, someone who takes a deep dive into the mathematical foundations.
@theiigotriangularround4880Ай бұрын
Its difficult to understand, i was learning about resonant frequency and got into this rabbit hole
@georgesinaihack3750Ай бұрын
School name, please?
@gustavoholo1007Ай бұрын
sorry to be that guy, but is this appliable to a finite number of measurements, say, R^n->R measurements? I've been studying functional analysis since last week, and I skim ahead to know what I'm getting to. I read real analysis up to hilbert spaces which was very brief. But my final objective is in optimization and machine learning, I moved from the math department to the CS department of college, but I want to implement advanced math into my formation as I like analysis a lot which is why I like your channel. I was reading Rudin FA, very fun first chapter until I hit completeness, which was very, very boring and unmotivated, admittedly I skimmed it and went to the next two chapters that are much more interesting IMO. But then at some point it hit me, isn't this way too general? Why am I even considering topologies where the local base could even be not convex if data comes from finite dimensional spaces? shouldn't I be already moving into optimization and machine learning after linear algebra and basic analysis (like PMA)? I want to keep going and study applied Hilbert spaces and analysis like you do at some point, but for the time being I'm trying to get the best use of my time to get something going in the CS department. I'm gonna write an undergraduate thesis and I wanted to put some of my math background, at first I thought just linear algebra and basic analysis, then I got ambitious, learned measure theory, L^p spaces and basic hilbert space theory, but since I'm reading Rudin (I like his style), I'm blindfolded to the applications. Love your videos man
@JoelRosenfeldАй бұрын
@@gustavoholo1007 the objective of approximation theory is to determine how close to an objective function you are when estimating with a finite number of data points. The representer theorem tells us, within a RKHS, how to get the best possible approximation with a finite amount of data. Does this get us close to our objective function? Maybe, but we need additional assumptions, which are often context dependent. You always need additional assumptions to guarantee convergence, in classical numerical analysis it is usually control on high order derivatives. In this case it depends on the Hilbert space norm. How all this hangs together is mathematics, and if you learn more functional analysis, then you’ll be more flexible than your peers. In my research, I have found a lot of innovations and proofs in unexpected places that others missed. But if you only want implementations of existing tools, then you’ll probably be fine with what you have.
@gustavoholo1007Ай бұрын
@@JoelRosenfeld I don't really want to just implement what already exists (I find it rather trivial). What I know will be enough for understanding the literature for my thesis, but I have quite a lot of free time. So I want to ask you a few things. I want to find relations between mathematical analysis and machine learning. I've been surveying the literature and doubting if my approach is okay. 1. Which books or concept should I look for? I'm reading rudin's trilogy to get foundations, I am currently at functional analysis Banach spaces and want to get to his Hilbert spaces chapter (RCA was lacking in Hilbert space theory). The applications are rather thin, these books are from before the machine learning boom. 2. One of my practical concerns is overfitting, it seems that these mathematical methods try to fit data maybe too well. How effective is regularization on these methods? 3. Efficiency and quality. Apart from being cool AF and interesting, do they offer something in efficiency or quality of the results? Thank you for answering so early, you're some kind of idol to me. I have found NO ONE in my college (including professors) that has the same interests as me, but you do
@gustavoholo1007Ай бұрын
@@JoelRosenfeld I want to be an interdisciplinary mathematician that leverages mathematical analysis concepts to machine learning, optimization and control theory. You seem like a hero to me with the content you do. What references or concepts do you recommend me I study? As I said earlier, I've been following Rudin's trilogy as I love his style, but after being done with the theoretical basics I am lost as to where to go next, I'm not in a college where the mathematics department does anything related to advanced machine learning nor anything interdisciplinary for that matter. And in CS I'm about the only person that knows advanced math. I want to apply math to CS problems, specially through mathematical analysis. Thank you for your answer. I wish I had a professor like you
@JoelRosenfeldАй бұрын
@ it’s hard to say and really depends on what you want. I got my PhD in operator theory and functional analysis. My knowledge back then was pretty nil. I picked all this extra machine learning stuff when I was a postdoc in engineering departments. I found that having a solid foundation in fundamental math was really helpful. For control theory, I studied Nonlinear Systems Theory by Khalil. Machine Learning is harder to pin down, and my knowledge stems from a lot of diverse places. Wendland’s Scattered Data Approximation is an excellent reference for approximation theory. Bishops Patter Recognition is a bible. And Support Vector Machines by Steinwart and Christmann is excellent.
@JoelRosenfeldАй бұрын
Kirsch’s An Introduction to the Mathematical Theory of Inverse Problems goes deep into basically the problems that NN try to solve, and connects it to operator theory.
@dustinkingsbury5554Ай бұрын
Work 16 hours a day?
@rayhs1984Ай бұрын
The peer review process finished this week. They submitted 10 proofs.
@JoelRosenfeldАй бұрын
@@rayhs1984 that is quite impressive!
@wlatol6512Ай бұрын
Can anyone give me an insight on how to use these for image classification?
@bbanahhАй бұрын
I appreciate that you don’t edit out the sighs, the complaints about the environment, and even the unlucky moments.
@IDK-jh9mnАй бұрын
Thank you so much!
@mykewl5406Ай бұрын
Excellent channel! Really top tier content and presentation!
@ariateeАй бұрын
I have 1 question. How can we prove cos(2x) = cos^2(x) - sin^2(x) without using Pitagore theorem in the formula sin^2(x) + cos^2(x) = 1
@JoelRosenfeldАй бұрын
The nice thing about identities is that you are free to select whichever side you want to start with. For this one, I'd start with the right hand side and expand both cosine and sine into their exponential representations. From there, it should just be a matter of algebra to reduce to cos(2x)'s exponential representation. This only uses the analytic form of sine and cosine that we got from the differential equation definition.
@berryblast3930Ай бұрын
50:22
@BonheurMaisonАй бұрын
I may be wrong but the KART seems to work for functions taking inputs in the [0,1] range, have I understood correctly?
@samferrerАй бұрын
I watched over and over as I did when I listened to metallica's kill'm all for the first time 40 years ago ...
@samferrerАй бұрын
Oohhh ... go home folks ... go home ...
@takiyaazrin7562Ай бұрын
Congratulations
@Roshawn-c2sАй бұрын
WHATS THE BEST MATHEMATICAL PROOFS TEXTBOOKS EXPLAIN CLEARY, CONCEP AND CONTEXT AS WELL DEFINE THE SYMPOLS OF PROOF WRITING THANK YOU
@coreyevans5734Ай бұрын
falling asleep with baby rudin is all too real
@JoelRosenfeldАй бұрын
@@coreyevans5734 lol real talk
@patagonia12312Ай бұрын
maravilloso!!
@SergejsBlakunovs2 ай бұрын
4:12 That was quite a surprise for someone, who has never taken functional analysis (and any pure math classes beyond some minor self-study for that matter). Would have never thought there are linear operators that are not continuous, let alone that derivative operator (such a familiar example!) would be one of them.
@jameslai68792 ай бұрын
I used baby Rubin 30 years ago for learning topology. Can’t believe it is still the gold standard up to this day.
@albertmashy85902 ай бұрын
This could allow the training of lower parameter models, and then scaling it up by adding more spline points, effectively creating greater resolution in the neural network
@lucianobaartman46782 ай бұрын
So cool!
@qusaikhaled96572 ай бұрын
would you consider KAN similar to ANFIS?
@tahamuhammad59622 ай бұрын
kzbin.info/www/bejne/gpi4c2qYmLKEepI
@MdArbaz12 ай бұрын
Actually it doesn't make sense to solve your equation for general nx+1 Because n=5, x=1 you end up with 421 loop but for n=5, x=5 you end up with another loop (26,13,66,33,166,83,208,104,52)!
@jennifertate43972 ай бұрын
"Reflexive"? Are you saying that our study sessions should want to become equivalence relations? 🤣🤣🤣
@jennifertate43972 ай бұрын
How did students in proof-based math courses get by before proof-writing courses and texts were available?
@JoelRosenfeld2 ай бұрын
@@jennifertate4397 they probably mostly didn’t. There are way more mathematics and college students today than there were 100 years ago. Back then, college was reserved for the wealthy, and they had tutors
@jennifertate43972 ай бұрын
@@JoelRosenfeld I see. Makes sense.
@malexmartinez40072 ай бұрын
The prof who said do not visualize proofs should be fired . I don't understand where he is coming from 😹😹😹😹
@carrickrichards24572 ай бұрын
Dirac was very active at international seminars, more after 1928 and more still after 1933. His work was widely discussed pre-publication, not just by peer review. Hard to show exactly what the notation's reach was early 1939.
@emmaconybeare66402 ай бұрын
You sure bud?
@srijanpanicker53952 ай бұрын
damnn such a great video and explaination🤩🤩🙌🙌, but so less views😥😥
@raotouqeer90522 ай бұрын
Really helpful. one more thing, is it helpful to approach the professors?
@JoelRosenfeld2 ай бұрын
@@raotouqeer9052 yes. It can make a big difference to have someone pulling for you on the other side