gtani

10 ms·

61.
by gtani 4y ago
books for peeps contemplating the big leap: Besides THE book ( Klabnik/Nichols ), the ones from O'Reilly, Pragmatic and Nostarch (for Rustaceans, Gjengset , in particular as a 2nd book) are excellent to superb. I might have miss
62.
by gtani 4y ago
Good article, I'm an occasional active trader and I see a lot of pathological behaviors and pretty frequent losses of the magnitudes you read about in /r/WSB...
63.
by gtani 7y ago
Over in /r/synthizers, muffwiggler and gearslutz land (there might be other forums where the pretty hardcore hang out) they usually recommend getting a knobby synth and Ableton/logic/bitwig/reaper etc on an apple th
64.
by gtani 7y ago
I've been looking for a while for a copy of the original red Plivka/Pakin APL book (not the APL2 one, even tho APL2 is what i know best), and they're there now on amazon, under $10. Now i can relive the arguments about whethe
65.
by gtani 7y ago
I've known /met a lot of serious students, some from living next door to Manhattan School of Music, and they all had different advice on practicing. Some had very structured allocations of time, recording all practices and journa
66.
by gtani 7y ago
Look at UIUC and Open University, MIT's OCW, community/junior colleges can give you a big boost, there's probably a lot of other advice at /r/math, /r/LearnMath and math.stackexchange. Some older threads:
67.
by gtani 7y ago
To bootstrap your understanding in general, pursue calculus, linear algebra and probability in tandem, then go thru texts on real analysis and abstract algebra. Also math summary books: Courant/Robbins, Ian Stewart has a couple, Stillw
68.
by gtani 8y ago
Interesting, wonder if there's any DSP commonality with the Tonedexter: https://www.mandolincafe.com/forum/threads/143036-Tonedexter
69.
by gtani 8y ago
Good article, I'll have to see reactions on /r/synthesizers, gearslutz where people will talk their own solutions Also how much applies to laptopless rig built around Pigtronix /EHX / Boss looper or Elektron boxes.
70.
by gtani 8y ago
You can google "source separation" to get background on this, Stanford has what is supposed to be a nice lib. https://www.reddit.com/r/MachineLearning/comments/4oewdq/rnn... https://
71.
by gtani 8y ago
You need at least half day break from focused pursuits. After that channel energy into other focused pursuit - playing guitar, piano etc - studying math, EE, physics - learn foreign language - sports, yoga
72.
by gtani 8y ago
Convex optimization, numerical methods books like Burden/Faires or Trefethen/Bau. If you want to get a good fundamental grasp, intro to real analysis books. Cambridge and Oxford have good reading lists to prep for 1st year of thei
73.
by gtani 8y ago
APL and C were my first languages, but I can't read most of those, it's been too long. Merrill Lynch's mortgage operation was an IBM APL2 shop with a few dozen programmers, along with people doing non-mortgage stuff. http:&#
74.
by gtani 9y ago
Interesting. I have a few rack mounts (mopho, ms2k) but not a modular person, I'm a little baffled by this like if i'm eventually decent at max or PureData, what's the advantage besides its cheap. I'll have to see what
75.
by gtani 9y ago
The target audience would be people that have roughly 2 years of undergrad math, the 4 semester calc sequence or high school equivalent, probability/stats, linear algebra, some computational courses using e.g. Numerical Analysis by Bur
76.
by gtani 9y ago
Similar quesion, aimed at math majors: https://www.reddit.com/r/math/comments/81px9v/what_are_some_... Really, if you're not going to go to e.g. community college where you can do a lot of this (LA,
77.
by gtani 9y ago
My sisters teacher was a Catholic nun who would get mad and slap them if they played sloppily. My teacher was a very nice lady who never raised her voice. My sisters progressed a lot faster
78.
by gtani 9y ago
Pretty sensible self teaching approach. I thought this would be mostly about tools like synthesia, glowing LEDs built into keyboards and Ableton piano rolls. My sense is that not many people get far with self teaching piano but some are ha
79.
by gtani 9y ago
You could work thru one of the ML in R/python books e.g. Géron or Raschka/Mirjalili and then dig into the lin alg, prob, stats, calculus/analysis you see there with the books everybody recommends, LA by Axler, Strang or Proab
80.
by gtani 9y ago
Some books on proof, theorems/axioms, set theory, epsilon/delta/continuity/limits/differentiability, natural/rationals/reals/countability etc before heading into your first proof based LA or analysis
81.
by gtani 9y ago
I also think this is flawed. Wind and orchestral string players (violin, cello etc) must develop a fine ear for pitch/intonation, pianists usually aren't given any choice as to tuning/voicing/regulation of the instrumen
82.
by gtani 9y ago
This covers some of same topics plus the rapidly expanding #s of frameworks, SIMD /SIMT backends etc https://julialang.org/blog/2017/12/ml&pl 20 pg tutorial on why RNN's are tricky https:/
83.
by gtani 9y ago
Without knowing your background, Pugh's and Abbott's are usually good choices as are Schramm's Dover, and while not really analysis texts, don't forget the classic fundamentals/foundations books by Courant/Robb
84.
by gtani 9y ago
Hard to say, we don't know what your calc, diff EQ, LA, probability/stats etc classes were like. You could self study Pugh, Abbott or Spivak. At a bare minimum you can read Lara Alcock/s little red book on analysis. Or you
85.
by gtani 9y ago
Yeah i'm a fun of scrounging around for cheap little used modules like Mopho, ms2k, ms20 mini, mother32, mini/monologue, the Roland and yamaha recreations jp08, bass station 2 and various novas from Novation, emu proteus 2k. Rola
86.
by gtani 9y ago
there was discussion also on threads about the book "Foundations of Data Science" by Hopcroft /Kannan/Blum but i can't find those threads
87.
by gtani 9y ago
What you say is correct, but that reddit thread concerns (I think) a narrow class of devs of which there are many here: US CS majors who graduate with only a few semesters of calc and discrete and are underequipped to bootstrap themselves i
88.
by gtani 9y ago
also for all in 1 math for physics books, there's a bunch: Arfken et al., Mary Boas, Riley/Hobson /Bence etc: https://www.amazon.com/Mathematical-Methods-Physicists-Seven... and http://www.goldbart
89.
by gtani 9y ago
some other survey /panorama books for various levels: What is Mathematics, Courant and Robbins (I haven't read the 2nd ed, edited by Ian Stewart) https://www.amazon.com/All-Mathematics-You-Missed-Graduate/d...
90.
by gtani 9y ago
For going all in, https://ocw.mit.edu/courses/mathematics/18-657-mathematics-o... But a good number of people that are doing work haven't taken real analysis, or it's been awhile and so you should be cur

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