Nzira yekuziva sei charlatan kubva kuData Science?

Nzira yekuziva sei charlatan kubva kuData Science?
Iwe unogona kunge wakambonzwa nezvevanoongorora, kudzidza muchina uye nyanzvi dzehungwaru hwekunyepedzera, asi wakambonzwa nezveavo vanobhadharwa zvisina kunaka? Meet data charlatan! Aya ma hacks, anokwezvwa nemabasa ane mari, anopa chaiyo data masayendisiti zita rakaipa. Muzvinyorwa tinonzwisisa nzira yekuunza vanhu vakadai kumvura yakachena.

Data charlatans vari kwese kwese

Data charlatans akanaka kwazvo pakuvanda pachena zvekuti unogona iva mumwe wavondisingatombozvizivi. Mikana iripo, sangano rako ranga rakachengeta vakomana vanonyengerera kwemakore, asi nhau dzakanaka ndedzekuti vari nyore kuziva kana iwe uchiziva zvekutarisa.
Chiratidzo chekutanga chekunyevera kusanzwisisa izvozvo analytics uye manhamba maitiro akasiyana kwazvo. Ndichatsanangura izvi zvakare.

Zvirango zvakasiyana

Statisticians vakadzidziswa kutora mhedziso pamusoro pezvinoenda kupfuura data ravo, vaongorori vanodzidziswa kuongorora zviri mukati me data set. Mune mamwe mazwi, vaongorori vanotora mhedziso pamusoro pezviri mudhata ravo, uye vanoongorora vanotora mhedziso nezve izvo zvisiri mu data. Vaongorori vanokubatsira kubvunza mibvunzo yakanaka (ita fungidziro), uye vezvenhamba vanokubatsira kuwana mhinduro dzakanaka (yedza zvaunofungidzira).

Kunewo mabasa akasanganiswa asinganzwisisiki apo munhu anoedza kugara pazvigaro zviviri ... Sei? Nheyo yekutanga yesainzi yedata: kana uri kubata nekusagadzikana, haugone kushandisa zvimwe chete data point ye hypotheses uye kuyedza. Kana data iri shoma, kusava nechokwadi kunomanikidza sarudzo pakati pehuwandu kana analytics. Tsananguro pano.

Pasina manhamba, unenge wakamira uye usingakwanise kunzwisisa kana mutongo wauchangobva kugadzira wakamira, uye pasina ongororo, uri kufamba neupofu, uine mukana mudiki wekudzora zvisingazivikanwe. Iyi isarudzo yakaoma.

Nzira yaCharlatan yekubuda munyonganyonga iyi ndeyekuifuratira obva anyepedzera kushamisika nezvinongoerekana zvamuka. Iyo pfungwa yekuseri kwekuyedza manhamba ekufungidzira inouya pasi kumubvunzo wekuti iyo data inotishamisa zvakakwana kuti tichinje pfungwa dzedu. Tinogona sei kushamiswa nedata kana isu takatozviona?

Pese kana ma charlatan awana pateni, vanofemerwa, vobva vatarisa data yakafanana nokuti muenzaniso wakafanana, kuburitsa mhedzisiro ine p-value yepamutemo kana maviri, padivi pedzidziso yavo. Nokudaro, vari kukunyepera (uye, zvichida, ivo pachavo). Iyi p-value haina basa kana iwe ukasanamatira kune yako hypothesis up to wakaona sei data rako. Charlatans vanotevedzera zviito zvevaongorori nenhamba vasinganzwisisi zvikonzero. Nekuda kweizvozvo, iyo yese ndima ye data sainzi inowana mukurumbira wakashata.

Vechokwadi vezviverengero vanogara vachitora mhedziso dzavo

Kutenda kune ingangoita isinganzwisisike mukurumbira wevaverengera nekuda kwekufunga kwavo kwakasimba, huwandu hweruzivo rwemanyepo muData Sayenzi huri pakakwirira-nguva. Zviri nyore kunyengedza uye kusabatwa, kunyanya kana munhu asingafungire achifunga kuti ndezve equation uye data. Dataset idataset, handiti? Aihwa. Zvine basa kuti unoishandisa sei.

Sezvineiwo, iwe unongoda kapfungwa kamwechete kuti ubate ma charlatans: ivo "vari kuona zvekare America." Nekutsvagazve zviitiko zvavanotoziva kuti zviripo mune data.

Kusiyana nemacharlatans, vaongorori vakanaka vane pfungwa dzakavhurika uye vanonzwisisa kuti mazano anokurudzira anogona kuve netsananguro dzakawanda dzakasiyana. Panguva imwecheteyo, nyanzvi dzenhamba dzakanaka dzinonyatsotsanangura mhedzisiro yavo vasati vazviita.

Vaongorori havana mhosva ... chero bedzi vachigara mukati mechikamu che data yavo. Kana vakaedzwa kuti vataure chimwe chinhu chavasina kuona, ndiro rimwe basa rose. Vanofanira kubvisa shangu dzeanalyst vopfeka shangu dze statistician. Mushure mezvose, zvisinei kuti zita rebasa ripi, hapana mutemo unoti haugone kudzidza ese maprofessionals kana uchida. Usangovavhiringa.

Kungoti uri shasha pazviverengero hazvireve kuti uri shasha pakuongorora, uye zvakasiyana. Kana mumwe munhu akaedza kukuudza zvakasiyana, unofanira kungwarira. Kana munhu uyu akakuudza kuti zvinotenderwa kutora mhedzisiro yenhamba kubva kune iyo data yawakatodzidza, ichi ndicho chikonzero chekungwarira kaviri.

Tsananguro dzinoshamisa

Paunenge uchitarisa data charlatans musango, uchaona kuti vanoda kugadzira nyaya dzinonakidza kuti "vatsanangure" data ravanoona. Kuwanda kwedzidzo, kuri nani. Hazvina mhosva kuti nyaya idzi dzinogadziridzwa mukuona kwemashure.

Kana matsotsi achiita izvi - regai ndibude pachena - vanonyepa. Hapana huwandu hweequation kana fungidziro dzemhando yepamusoro dzinogona kugadzirira chokwadi chekuti vakapa zero humbowo hwedzidziso dzavo. Usashamiswe kuti tsananguro dzavo hadzina kujairika.

Izvi zvakafanana nekuratidza kugona kwako kwe "psychic" nekutanga kutarisa makadhi ari mumaoko ako uye wozofanotaura zvaunenge wakabata ... zvaunenge wakabata. Uku kurerekera kumashure, uye iyo data sainzi basa yakazadzwa kusvika kumuromo nayo.

Nzira yekuziva sei charlatan kubva kuData Science?

Vanoongorora vanoti: "Wangoenda naQueen of Diamonds." Venhamba vanoti, β€œNdakanyora pfungwa dzangu pabepa iri tisati tatanga. Ngatitambe tichitarisa mamwe data tione kuti ndiri right here." Charlatans anoti: "Ndaiziva kuti uchave Mambokadzi weMadhaimondi nekuti ..."

Kugovana data ndiko kugadzirisa nekukurumidza kunodiwa nemunhu wese.

Kana pasina data yakawanda, iwe unofanirwa kusarudza pakati pezviverengero uye analytics, asi kana pane yakawanda data yakakwana, pane mukana mukuru wekushandisa analytics pasina kunyengera. ΠΈ statistics. Iwe une dziviriro yakakwana kubva kune charlatans - kupatsanurwa kwedata uye, mumaonero angu, iyi ndiyo pfungwa ine simba kwazvo muData Science.

Kuti uzvidzivirire kubva kumakororo, chaunofanirwa kuita kuve nechokwadi chekuti unochengeta data rekuyedza kunze kwekuona kwemaziso avo, uye wobva wabata mamwe ese seanalytics. Paunosangana nedzidziso yekuti uri panjodzi yekubvuma, ishandise kuongorora mamiriro, uye wobva waburitsa yako yakavanzika bvunzo data kuti uone kuti dzidziso yacho haisi nyaya. Zviri nyore!

Nzira yekuziva sei charlatan kubva kuData Science?
Ita shuwa kuti hapana anotenderwa kuona bvunzo data panguva yekuongorora. Kuti uite izvi, namatira kune data rekutsvaga. Dhiyabhorosi data haifaniri kushandiswa pakuongorora.

Iri idanho rakakura kubva kune izvo vanhu vajaira munguva ye "diki data", paunofanira kutsanangura kuti unoziva sei zvaunoziva kuitira kuti pakupedzisira utende vanhu kuti iwe unonyatsoziva chimwe chinhu.

Shandisa mitemo yakafanana kune ML / AI

Mamwe macharlatans anozviita seML / AI nyanzvi zvakare ari nyore kuona. Iwe unovabata nenzira imwechete yaunobata chero imwe mainjiniya akaipa: iwo "mhinduro" dzavanoedza kuvaka dzinoramba dzichikundikana. Chiratidzo chekutanga chenyevero kushaikwa kweruzivo neindasitiri yakajairwa programming mitauro nemaraibhurari.

Asi zvakadini nevanhu vanogadzira masisitimu anoita seanoshanda? Unoziva sei kana chimwe chinhu chiri kufungira chiri kuitika? Mutemo mumwe chete unoshanda! Iyo Charlatan ihunhu hwakashata hunokuratidza kuti iyo modhi yakashanda sei ... pane imwechete data yavakashandisa kugadzira modhi.

Kana iwe wakavaka inopenga yakaoma yekudzidza muchina, unoziva sei kunaka kwayo? Iwe hauzoziva kusvika wamuratidza kushanda nedata idzva raasati amboona.

Pawakaona iyo data isati yafanotaura - hazvigoneke zvisati zvaitikaachiudza

Paunenge uine data rakakwana rekuparadzanisa, haufanire kutaura kunaka kwemafomula ako kururamisa chirongwa (chinyakare tsika yandinoona kwese kwese, kwete musainzi chete). Unogona kuti: "Ndinoziva kuti inoshanda nokuti ndinogona kutora data seti yandisati ndamboona uye kufanotaura chaizvo zvichaitika ikoko ... uye ndichave ndakarurama. Zvakare uye zvakare".

Kuedza modhi yako / dzidziso pamusoro pe data nyowani ndiyo yakanakisa hwaro hwekuvimba.

Handishiviriri data charlatans. Ini handina basa kana maonero ako akavakirwa pamanomano akasiyana. Handina kufadzwa nekunaka kwetsananguro dzacho. Ndiratidze kuti dzidziso yako / modhi inoshanda (uye inoramba ichishanda) pane yakazara dhata nyowani yausati wamboona. Uyu ndiwo muyedzo chaiwo wekusimba kwemaonero ako.

Kubata Data Sayenzi Nyanzvi

Kana iwe uchida kutorwa zvakakomba nemunhu wese anonzwisisa kuseka uku, rega kuhwanda kuseri kwemafancy equations kutsigira kurerekera kwako. Ndiratidze zvaunazvo. Kana iwe uchida kuti avo "vanoiwana" vaone dzidziso / muenzaniso wako sechinopfuura nhetembo inokurudzira, iva neushingi hwekuisa pakuratidzira kukuru kwekushanda kwayo pane imwe itsva ye data ... pamberi pezvapupu. !

Kwirira kuvatungamiri

Ramba kutora zvakakomba chero "pfungwa" nezve data kusvika dzaedzwa nyowani data. Haunzwi uchida kuita nhamburiko here? Ramba uine analytics, asi usavimbe nepfungwa idzi - hadzina kuvimbika uye hadzina kuongororwa kuvimbika. Zvakare, kana sangano riine data rakawanda, hapana chinokanganisa kuita kuti kupatsanurwa kuve kwakakosha musainzi uye kuichengeta iri padanho rezvivakwa nekudzora kuwana bvunzo dzedata. Iyi inzira yakanaka yekumisa vanhu vachiedza kukunyengera!

Kana iwe uchida kuona mimwe mienzaniso yemacharlatans kusvika pasina kunaka - heino tambo yakanaka pa Twitter.

Migumisiro

Kana paine data diki diki rekuparadzanisa, charlatan chete ndiye anoedza kunyatsotevera kurudziro nekuwana America retrospectively, masvomhu achiwanazve zviitiko zvinotozivikanwa kuti zviri mudhata, uye achidana kushamisika kwakakosha. Izvi zvinovasiyanisa nemuongorori ane pfungwa dzakavhurika, anobata nekurudziro, uye nyanzvi yenhamba ine humbowo, inopa humbowo kana ichifanotaura.

Kana paine data rakawanda, pinda mutsika yekuparadzanisa data kuitira kuti uve neakanakisa epasirese! Iva nechokwadi chekuita analytics uye manhamba zvakaparadzana kune ega ega ega ega ekutanga murwi wedata.

  • Analysts zvinokupa kurudziro uye pfungwa dzakavhurika.
  • Statistics kukupa bvunzo dzakasimba.
  • Charlatans kukupa maonero akamonyoroka anonyepedzera kuva analytics plus statistics.

Zvichida, mushure mokuverenga chinyorwa, iwe uchava nepfungwa yokuti "ndiri charlatan" here? Izvi zvakanaka. Pane nzira mbiri dzekubvisa pfungwa iyi: kutanga, tarisa kumashure, ona zvawakaita, kana basa rako nedata rakaunza bhenefiti inoshanda. Uye chechipiri, iwe uchiri kukwanisa kushanda pane zvaunokwanisa (izvo zvisingazove zvakanyanya kunyanyisa), kunyanya sezvo isu tichipa vadzidzi vedu hunyanzvi uye ruzivo rwunovatendera kuti vave masayendisiti chaiwo edata.

Nzira yekuziva sei charlatan kubva kuData Science?

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Source: www.habr.com

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