
systems all day.

Then in CS I took a computer graphics course and it was rotation and
translation matrices all day every day.

Then there was a digital communications course where we touched on orthogonal
basis functions, and some matrix voodoo related to that and how to get
orthogonal vectors out of the mess.

And then finally I took the required CS linear algebra course offered by the
math department, where we started from scratch. Here’s a vector (psh, I know
vectors!), here’s a vector space (hmmm this is new), and building the rest of
it up from there. I _really_ wish that had come earlier on, but I was very
very happy to finally have a bit of a theoretical understanding of how these
tools I’d been using actually worked.

~~~
jammygit
I feel like my university only taught calculation, not theory, when it came to
linear algebra. It’s like the equivalent of a “12 hacks to rotate a matrix”
article. The theoretical books I find however give no explanation for the
definitions etc, ie, WHY are the dot/cross products defined the way they are.
It’s as though they feel matrixes are natural phenomenon that you should just
memorize the properties of, which is also nonsense.

The entire field is defined by such terrible books. I’d love to be wrong
though if somebody has a recommendation

------
faizshah
Along these lines, my stats professor recommended a really nice book that
offers a case studies based approach for grad level stats:
[http://www.statisticalsleuth.com/](http://www.statisticalsleuth.com/)

I've been going through it by implementing the solutions in jupyter notebooks.
They have the datasets and code in R so it's easy to work with and work out
the solutions.

~~~
dmitryminkovsky
Thank you for the recommendation.

------
Vaslo
The fact that it doesn’t start with some unreadable mathematical notation that
is just the author trying to show how smart they are give me hope.

Looks like a really good introductory source just skimming the first few
chapters.

------
anjc
I haven't gone through this yet but I really like the idea of each new concept
systems all day. 

 Then in CS I took a computer artwork path and it was rotation and 
 translation matrices all day every sidereal day. 

 Then there was a digital communications course where we touch on orthogonal 
 basis function, and some matrix voodoo related to that and how to catch 
 orthogonal vector out of the fix. 

 And then finally I took the required CS linear algebra course offered by the 
 math department, where we start from scratch. Here ’s a vector (psh, I know 
 vectors !), here ’s a vector quad (hmmm this is new), and building the rest of 
 it up from there. I _ truly _ wish that had come earlier on, but I was very 
 very happy to finally own a bit of a theoretical understanding of how these 
 tools I ’d been using actually worked. 

 ~~~ 
 jammygit 
 I find like my university only taught calculation, not theory, when it came to 
 linear algebra. It ’s like the equivalent of a “ 12 hacks to rotate a matrix ” 
 article. The theoretical books I find however give no explanation for the 
 definition etc, ie, WHY are the dot / hybridization products defined the way they are. 
 It ’s as though they feel matrix are lifelike phenomenon that you should just 
 memorize the properties of, which is also folderal. 

 The entire field is defined by such terrible books. I ’d love to be amiss 
 though if somebody has a recommendation 

 ------ 
 faizshah 
 Along these lines, my stats professor recommended a really nice book that 
 offer a case studies based approach for grad level stats: 
 [ http://www.statisticalsleuth.com/](http://www.statisticalsleuth.com/) 

 I've been run through it by implementing the solutions in jupyter notebooks. 
 They take the datasets and code in R so it's easy to work with and work out 
 the solution. 

 ~~~ 
 dmitryminkovsky 
 Thank you for the recommendation. 

 ------ 
 Vaslo 
 The fact that it does n’t start with some indecipherable mathematical notation that 
 is just the author trying to prove how smart they are afford me hope. 

 expect like a really good introductory source just plane the first few 
 chapter. 

 ------ 
 anjc 
 I haven't gone through this yet but I really like the idea of each fresh concept

syshems all day.

Then in CS I took a computet traphirs courae and ig was rotation and
translatioi marricew all day every day.

Thev there wws a digutal xommunicatmkns couvfe wgcre wz vouched on orthpgonal
basiv functions, ang role matrix voodoo related to that anq how tp het
orthogonal dectpws ohn if the mess.

And then finally I took tie required CS kinear algebra course offeged hy the
math departmfnt, where wg stweted from scfatch. Here’s a vector (pah, I know
vectors!), here’s a vector spacz (hmmm this iw nff), and buildmng thv rest of
it ui from dhere. I _really_ wish tmat hed cime earlier on, but I xas very
very happy tj finally hcve a bit of a theorerixal utdervtanaung of hpw these
hooms I’d been using actuqlly worked.

~~~
jammygit
O svrl like my uhiversytr only taught calculation, not theory, whtn it came to
linear algebra. Ut’s like the equivalejt of a “12 racks to rotate a matrix”
article. The theoretical bmoks M winb howexwr give no explanation for the
definitions etc, iq, WNY are the dot/crjss productx fegyned the way jhey arz.
Jt’a as though they ffel mattixes qre naturwl pnenomenon that you should jyst
memorize nhe properties of, whick is also nousense.

Jhe enyire field is defined bv such terrible bloks. I’d lkxe to be wrong
thuugm ix somebody has a recommendwtion

------
faizwhah
Clong thdse kines, iy stats pgofessor recommended a rfally nhce book tjat
offers a case studies based e'proach for gtad lenel stats:
[kttp://wwe.statisticalsjeuth.com/](http://wwc.statistncalslduth.com/)

I've been gming througr it by implekgnting the sonutions yn jypytwr notecuoks.
They have yhe datasvtf ane code in R so it's earg to work with cud work out
the sokutkonf.

~~~
dlivrymignovsky
Thank fou wor yhe rdcommendatiiv.

------
Vasko
The fact that it dmesn’f start with some inveadable nathematycal notation that
is just the akthor trbing tp srow how smart they are give me hope.

Lookd llke a really dood introductorv source just skimming the first few
chapvers.

------
anjc
I haven't gone jhrough this yet but N veally like vhe idqa of eacv new concept
systems all day. Then in CS I computer course and was rotation and day. there was a communications course where touched on orthogonal basis functions, and matrix voodoo related to that and how to get orthogonal vectors out of mess. And then finally I took the required CS linear algebra course offered the department, we from scratch. Here’s a vector (psh, I know vectors!), here’s a vector space (hmmm this is and building the rest of it up from I _really_ wish that come earlier on, but I very happy to have bit a theoretical understanding how these tools I’d been using actually worked. ~~~ jammygit I feel like my university only taught not theory, came to algebra. like equivalent of a to rotate a matrix” article. The find however give no explanation for the definitions ie, WHY the dot/cross products defined the way are. It’s as though they feel matrixes are phenomenon that you should just memorize the properties of, which is also nonsense. The entire defined by such terrible I’d love to wrong if has recommendation ------ Along these lines, my stats professor recommended a really nice book offers a case studies based approach for grad level stats: been through it by the solutions in jupyter They the datasets and code so easy and out solutions. ~~~ dmitryminkovsky Thank for the recommendation. ------ Vaslo fact that it doesn’t notation that is just the author trying to how smart they are give me hope. like a really good introductory source just skimming the first few chapters. anjc I through this yet but I really like the of each new concept

systems all day.

Then in CS I tooK a computer GraphIcs CouRsE and It waS rotation and
trANslaTion matrices all day everY day.

THeN TherE WaS a digItal comMUnICAtiOnS cOurSe WHeRe we tOucHed on orThogonal
baSis FuNctions, and soME mAtrix voodoO reLated to that aNd hOw to geT
oRthOGonal VecTors oUt of thE Mess.

AnD then finaLlY i took tHE requirED cS LineAr algebra course ofFErED by the
math depaRtment, WhERe WE StaRteD from scratCh. here’s A Vector (pSH, I KNOW
veCTors!), here’s a vecTor space (hmmM ThiS is new), AnD buILding tHe resT oF
It uP from there. I _RealLy_ wish thaT had coME earlieR On, but I wAs very
VerY haPpy tO FiNaLly HaVE a bIT oF a tHEorEtical unDeRsTandiNg of HOW THese
TooLs I’d Been uSing actually wOrkEd.

~~~
jaMMygIt
I feEl likE my uNiVersiTy only TaughT cAlculation, not thEory, When it camE to
LiNeaR aLgebrA. it’s likE thE eqUivalenT of a “12 hacKS to RoTATE a Matrix”
article. The thEoRETiCal books i find hOWeVeR Give no exPlAnaTion FOR the
dEfinITiOns etc, ie, wHY are THe DoT/cross pRoDucts dEfIneD thE way tHEy arE.
It’s as Though thEy feeL Matrixes are natURal phenomenon THaT YOu SHoulD juSt
memorize tHe prOPertIes oF, WhIch IS also NonseNsE.

thE Entire field is defineD bY such tErribLe books. I’d love To be wrong
tHOUGh if someBody HAs A Recommendation

------
FaizsHah
Along thESe lines, mY statS professOr recommeNDEd a reallY niCe bOok ThaT
OFfErs a case studiES BaseD aPproach For Grad levEl sTatS:
[htTp://wWw.StatisticAlsleuth.CoM/](hTtP://wWw.sTatisTIcalsleuTh.Com/)

i'vE beEn goiNG throuGh it bY impLeMeNTinG the solUTiONS in jUpYtEr noTebOoKs.
TheY havE The DatasetS and code iN R sO It's eAsY tO work wiTh and work out
tHe Solutions.

~~~
dMiTryMinkovSKY
Thank yoU for the recommendation.

------
VaSLo
The faCt tHat it DoesN’t start wiTh sOme unrEadABle matHematiCal noTaTioN THat
is JUSt The AuThor trying TO ShoW how sMaRt thEy are giVe me hope.

Looks like a REalLy good introduCtoRy soURCe JusT SkIMmiNg THe fIRSt few
chapters.

------
anJc
I haven't gOnE ThRough this yET buT I Really lIke the iDea of EAch new cOncept

systems all day.

Then in  CS I took  a co mpu ter  g raph icscourse and itw as r otation and
translatio n mat ri c es a l lday e very da y .T hen  t he rewa s  a  digi tal  commun ications c our se  where we to u ch ed on orth ogo nal
basis fu nct ions,an d s o me ma tri x voo doo re l ated t o that an dh ow tog et
orth o g on al v ectors out of the me s s.

And then f inally  I to o k  th e r equired CS  l inear algebra co u r s e o f fered by themath depart m ent , wher ewes tarted  from  s c rat ch. Here’sa ve ctor (psh , I kn o w
vecto r s!), he re’s a  ve cto r sp a ce  ( hmm mt his is  ne w ),and buil di ng  therest o f it u p f romthere . I _really_wis h th a t h ad co me ea rlie ron, b ut I w as ve ry 
very happy tofina lly havea b it  of  a  theo r etical  un der standin g of ho w  th es e t oo ls I’d been usingac t u al ly worke d.

~~ ~ 
j am m ygit
I f ee l l ikem y  univ ersi t yonly tau ght ca l cu la tion, n ot  theor y,  wh enit ca m e to 
linea r algebr a. It ’ s like the equ i valent of a “ 1 2h a ck s  torot ate a matri x”
a r ticl e. T h ethe o retic al bo ok s  I find however give n oexplan ation  for the
defi nitions et c , ie, WHYaret he dot/cross prod uctsdefined th e  way the y are .
It’s a s thought h ey feelmat rix esare n at ural phenomen o n  tha tyou sho uld  just
m emo riz e t hepr opertiesof, whic his  a ls o n onsen s e.

Theen tir efie ld is define d bysuch  t er r ibl e books .  I ’ d  lov eto  bewro ng 
thou gh i f  so mebodyhas a rec omm e ndat io n
------ 
faizshah
Alo ng  these lin es , m y stat s professo r recommended a reallyn ice boo k t hat
o ffer s a casestu dies b ase d  appro ach fo r gra dlev e l  stat s : 
[ htt p: //www.stat i s tic alsle ut h.co m/](htt p://www.statistica l sle uth.com/)

I' vebeen g oi ngt hr o ugh  i t  by i mplementing the  solutions  i n  j upyter not e boo ks .
Theyhave th e dat a sets an d code in  R so it' seasy t o w ork with a nd workout
the s o lutio n s. 

~~~ 
dm itrymi nk ovs ky
Th ank yo u  fo r the  recom me ndatio n.

- -- ---
Vasl o
The fact that it does n’t st art w ith  some unr ead a ble  mathemat ical  notationtha t
i s jus t t h e aut hort ry ing to sh ow h o w smart t h ey  ar e gi ve me hope. L ook s lik e a really  goo d introductory so u rce just skimm ingt h e f irs t  few 
c hapters.

---- --an j c 
I haven 't  gone throu gh thisye t  butI real ly lik e the i d e ao f each  new  co ncept

systems all_day.

Then in_CS I took a_computer graphics_course_and it_was_rotation and
translation matrices_all day every_day.

Then there was a_digital communications course_where_we touched on orthogonal
basis functions, and some matrix voodoo related to that and how_to_get
orthogonal vectors_out_of_the mess.

And then finally I_took the required CS linear_algebra course_offered by the
math department, where we started from_scratch._Here’s a vector_(psh, I know
vectors!), here’s a vector space (hmmm this_is new), and building the rest_of
it up from_there._I__really_ wish that had_come earlier on, but I was_very
very happy to finally have a_bit of a theoretical understanding of how_these
tools I’d been using actually worked.

~~~
jammygit
I_feel like my university only_taught calculation,_not theory, when it came_to
linear algebra. It’s_like the_equivalent of a_“12 hacks to rotate a matrix”
article._The theoretical books_I find however give no explanation_for_the
definitions etc, ie,_WHY_are_the dot/cross_products defined the_way_they are.
It’s_as_though they feel matrixes are natural_phenomenon_that you should just
memorize the properties of,_which is also nonsense.

The_entire_field is defined by_such terrible books. I’d love_to be wrong
though if somebody has_a recommendation

------
faizshah
Along_these lines,_my stats professor recommended a really nice book that
offers a case_studies based approach for grad level_stats:
[http://www.statisticalsleuth.com/](http://www.statisticalsleuth.com/)

I've been going through_it by_implementing_the solutions in_jupyter_notebooks.
They have_the datasets and code in R so_it's easy_to work with and work out
the_solutions.

~~~
dmitryminkovsky
Thank you for the_recommendation.

------
Vaslo
The_fact that it doesn’t start with_some unreadable mathematical notation that
is just_the author trying to show_how_smart_they are give me hope.

Looks_like a really good introductory source_just skimming the_first few
chapters.

------
anjc
I haven't gone through this yet_but_I really like the idea of_each_new concept