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# intro - PREDICTIVE LEARNING y ="response/output”...

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Unformatted text preview: PREDICTIVE LEARNING y = "response/output” variable (unknown) x = (3:1, 3:2, - - -, gen) 2 “input/predictor” variables Prediction: 3} 2 F(x): L(y, F) : loss criterion: regression: L(y, F) = (y — F)2, |y ~— Fl classification: y, F E {01302, - - -,CK} L(y, F) = Lyrp : K X K matrix Lack of accuracy (”risk"): R(F) = ExyL(y, F(x)) Optimal (”target") function: F* = arg minp R(F) Learning: T ={xi,yi}11\l “training" sample F(x) : learning procedure (T) r: F*(x) 'TI '4“ (”N K v i I __ H im%q't ng’ﬁi-M u Good : “€th c300“ QPWX to ﬂag) “3mg 1m WWW This Cowsa; MoaLe/m ,Qch/mimg Wane/«MAME, mart/\$1 0‘} ~041ch um oieuetoyoerj m O‘I’ueﬁ {:Le [35. (13 Muculme lemma (AI Les) - Bea-claim Mm 2L Amle loan/Md CL) PS‘QC’ULOlO‘TéL/l _ MEMO-ﬂ ME+S (33 EM%imew;M% _ pat-texw Amos, Mam. MEI- 3L. ‘om ma-f’hooals CLMS‘I‘MIMg CW3 gl-OlOtgr/t —. (ﬂu/[34.941443 “ TDH’ON’IR .4le "I’l/Lim 'GVL ”WHAQ MACH/10045. (1) Moch +1.4qu c/L'EUEJOp—QJ £11m ,QL'mea/L Q 9.0% mmlimem 1446941) (3) Much AMJchim gloom Acme/(W x iiMmPolqu W ML; Wee/kw (Qua >_<., mmLimea/L) Fetmes+em (‘4) RﬂOLlL‘El/l CWA L04 ch-l-‘IILQ o‘E'Q-(th S‘M. ‘oo‘H-k 8.3, tofou; _. Amie/nae hade #01118 Mos-E kchmiqjuea rMO’El-UOL'PCIK W hemls-El'cg bis P'nﬁc dad-15 -f:o 4m: Com—Pﬁax‘avl u (1} U0 MAQWOJ —; Marcela bullet“ (2.) [do metkooA g4». mﬁuMSoLle loé'ﬁf'E/l 1146M owwt owe/1 (AeaAUWQlale) 014d haul-0" Uol‘oeAt: [do ﬁlled (3) Each armament law Llama 0—? far/16331“: ¥ULML£LWS F‘CE’S')J Dal/maple 13652 A), Amway / mol'se A0381}: (é: F’Wg) +5 ﬂ _ ’L MDLSC“ \$04 urﬂxlch lfiS bee-l: UH Hour +0 choose; Me-HMJOLS oLL-F-E-M Cm wvha'f. “WEI/I tit/LAME about F‘Cg) Thq Aeuehal - £¢ﬁ[mq+e beat of: use committee [HMLH 714% S Coma axu‘sovL Com 4::‘m: RePMJc-EJ (-enm-pim'oall mecywmmq CWPMISO‘QS loe+m£¢m rthoc/{S must be MWWLQM uH-‘HA Call-Q F04 euuq {me-Mani, MW W cat ‘szft. Acme AQ+MoL+£ows (faAgeE JFH/n‘ltlmg 3/”, ,oomvlple ASL-3,2) “FM We‘lC-bk ll'E 2130 chtqllq QPYMOMLOCEC? (Wok aomumsalq) Pm-Coamamu AMKI'Mﬁs 0M pom—Heated ﬁxmplﬂé JOLIOu [cl MO‘E laid AXJAar-‘ofakvf 591.6me ‘WOSE’ ﬁd'a-eci-GL'C. .QXat/MIOMA. a 5f? - (How and 2 Am Jaw ummue) This 4,0 MEEciallq 44016 L? +145 om-HAM‘S (mew) {me—Wool ,Lo one 95!1 +018 CUM petftaﬁs .- Setﬂc‘EI'tM [similar W056 ~90“) (Aye/Lian it 010% [gent GULQ mMe likelq 41:: Ice. wanted (Mm/ta :2) MO 100.9%) No idea 0-?- hour momq w—eAQ f/Lied ‘ED cée‘t chose/n Mani-.64 pulomﬁ. Papa): Aalec‘ﬁiavl e¥¥ect (MO Pane/1% mot ﬂae but) Hmwn 4—wm'mg mueogma, Exq-IE/xt Elm: Inn WU] @{q+a. amalﬂsis’ dew o; pMLLm MGPGMO’IS cm we Mqlu‘L'st ‘ WM his/hm AKIN mm We. mama. [qu-ﬁ/lo’l is M649. -Q.X [MP/Lt M appfstﬁﬂ Wet/L Own mai’hoaﬁ 144m campe-ti'tms ,_ run/1019 Aléifl AM. twat-m __. W049“ {Motivaukd +0 0&0 ”1‘— .. m+meok WmtitMs Mth “ta/warm +0 log, beaten: Cont: [as [MS -' Cwaomism’ls most MSE‘QAII OMlV] PMPOSQ 0'? ﬁe Parse/L CLM‘HAMCS) have MO mGcx MMQo-H, Ana-4. o/Ll.-F"€€A£M_El.a~{ [mall‘s MOM-“a ﬁne Cm roe—{HEIMJ C Sou/1190a Fe WPQE‘L‘E‘M) wuwmiﬁe 0mm: Cmpmisows ownmg (riﬂe/L {mg-WOOL“; m08+ MW‘EIMG C MCCMM ——*>,QM'E (M 93qu %D£I'M%) CmJ—EA'E-Su 91.563194! ,oimua —€ch MMam-t mus 44490:. W Mama Sti Ll MM: MOLQEELI Cmpmm~£s 01E Lem/v1 {Mg Atgmt‘ﬂtms 7C Han/m) Mmilq L SKI/MM) I. Meg/lat 0J1. IDCL‘H-P/L/n AMMC‘Eu/iﬂ'. Mmcytml‘almoc} -Fm;-Elavxo..[ £oA/WI ,oou cold. QM o’LOL—Hx, EKWPIES: OLR 3‘ = 01.0 ,QL'MeaJL gmc'éiw M A F1653 =Qb+Za~gK3 V (“”19” a=l [AOLJIENE WOO/laCa‘IIn/‘a: 3- : QM AMOD‘HA midi-HOE M‘s M Pmooﬂ A 12’ng :- E‘Yé (X5) SVM.‘ § 3 OLLl polgmmlﬁfg 41) .—..._._.——-—r 4"{xed MMM Cdeieamimeq low1 Wat) .—-—"‘ 1.1.. Some. ‘pmcfim ! Judy (ﬂack 0+] CWMHH 0‘? Quad MOMQ,‘ to (£qu 1303ch 2 Aome~lrnivwea («w/105+. “Mautwml” A) l FAT Z- Lc‘éi’) FCEC)) 1:34 OSL‘IW ctr-9% «MW—l: _ OLR m PDP E329 (%‘O\o“ZaaXd )L U §=I +0. .L . M (AOL MEC%*HQB"_Z-QAXA&)Z gal RR/LASSD m Ala} 9mm: 0LR+[ :2“ £51051 3:: SUM. _—--—- LEL OlE‘HM/Ltéafim pea/lain ﬂue-MOM: Ml‘mimiy Die—{11 wi‘k’AI-M cm AWPIE’ .4 __. . g —mmLM§4C£%LJ¥C£L3Q)IJ ‘ ﬁeEECa) EXWPLSQ ,' 0L9. — eithec‘t Mahix (11%qu RR “ u LASSO -' CEuaoiAafiQ (Mg/Lama SvM —- u aH convex whims MMfcbote MIIMl'M/twfwl l plan-Fa M0136 ﬂexible maﬁa/1a. CTAe-es; MeM-M me'és) ctuskﬁfrng) (ii-heat AOU‘A mot Possl‘kic mom convex mimic. Hew‘LL-Sﬁlb Aka/1091 Ahqtegx'ea C .L-IEAafllue. aiWi'a/LIM‘S) Gneeoig) A-l-eavoea‘t oiJAW‘z’: EM mica/emmm Nwwxlemé OP‘EI'MI'SOL‘EiM Multtlﬁtf’. nt/lfn’l'lrwxq OLKWII‘ELKIWUQC + JO+a‘bt.S‘EI.ICa.l PAOLIWJ Aol’m Meme/(s m1 Arum—l: (go) S+a£i5£iC0hI (mpm-El'ﬂa (alarm/1d cm £390:th Aka+2%v\ cm mam cm I. 3-K. Pant/mews Com/Ht \oe Aapmaied. aw Ale. o—Hzeah den/1e. AIN‘- Wis/1'1 0842/14 AWOQR‘EE (amoomms mC-IMI'M Summ Mal — ,Qeownfmg madam: I- Mac/{cl on. pat£e¢m 43%ch A. Fczg): Fug-g) 63-03:} l _. 2L Lscgh “ﬁchg,chJg1) J. M SC31:fJ- A<deJ Ecﬁngll ...
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