InoteveraGaidhi rinotevera
AI Anomaly Kuonekwa
Zvikumbiro
Basics GUIDE
Kuonekwa kweZvinhu Zvisina Kururama
Anomaly discovering itsika yekudzidzisa michina mureza data point inotsauka zvakanyanya kubva pamatanho akajairwa.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Izvo zvine basa nekuti zvisingawanzo, zviitiko zvisingatarisirwe - hutsotsi, kutadza kwemidziyo, kupindira - kazhinji kunovanda mumakungwa e data renguva iyo vanhu vasingakwanise kutarisisa nemaoko.
Kudzika Kwakadzika
Kuzivikanwa kweanomaly kunoratidza zvakacherechedzwa zvisingaenderane nemaitiro anotarisirwa, anowanzonzi outliers, novelties, kana anosiya. Mazhinji maitiro anotanga adzidza kuti 'zvakajairika' zvinotaridzika sei, wozokora data idzva nekurasika kwarinoita. Statistical nzira mureza kunongedza kupfuura mashoma mwero kutsauka; kure-kwakavakirwa nzira sek-pedyo vavakidzani mureza anonongedzera kure nevezera ravo; density nzira senge Local Outlier Factor mureza mapoinzi mumatunhu mashoma. Kudzidza kwemuchina kunowedzera Isolation Masango, ayo anoshandisa chokwadi chekuti anomalies ari nyore kupatsanura ane mashoma asina kujairika kupatsanurwa, uye autoencoders, iyo inovakazve yakajairika data zvakanaka asi ichikundikana pane isingawanzo. Dambudziko guru nderekuti zvinokanganisa hazviwanzo uye kazhinji hazvina kunyorwa, saka mhando dzinofanira kudzidza zvakanyanya kubva mumienzaniso yakajairika uye kushivirira kusajeka, kushanduka kwetsananguro dze'zvakajairika.'
Kuitwa muNyika yeChokwadi
Manetiweki emakadhi ekiredhiti anozivisa kutengeserana kune imwe nyika masekondi mushure mekushandisa kadhi mumusha, kutonhora kungangoita hutsotsi usati watenga.
Mafekitari masensa anoona kuzununguka kana tembiricha isina kujairika mumotokari, achifanotaura kubereka mazuva ekutadza kusati kwambomisa mutsara.
Maturusi eCybersecurity anoona sevha inongoerekana yatumira gigabytes kune isingazivikanwe IP na3 a.m., ichiratidza zvinogona kubuda data.
Vatariri vechipatara vanobata isina kujairika rhythm yemoyo mune inoenderera ECG data, vachizivisa varapi kune iri kukura arrhythmia.
Ramangwana reAnomaly Detection
Kuona kuri kuenda kune chaiyo-nguva kutenderera pamidziyo yemupendero, saka anomalies anokwira mukati memilliseconds kwete mushure mekuongorora batch. Kudzidza kwakadzama uye girafu neural network iri kuramba ichibata zvisinganzwisisike, akawanda-anochinjika mapatani semhete dzehutsotsi dzakabatanidzwa. Kuzvitarisira wega uye nheyo dzemodhi dzinovimbisa masisitimu anochinja senge 'akajairika' kudhiraivha nekufamba kwenguva, ichideredza kudzoreredza kwemaoko. Tsananguro zvakare iri pamberi: zvikwata zvinoda mamodheru asingatauri kuti chimwe chinhu chinonyangadza, asi izvo zvinhu zvakakonzeresa yambiro, saka vanoongorora vanogona kuita nechivimbo.
Kuzvishandisa
Nei zvichikosha
- Sarudzo dzakajeka. Inokubatsira kuparadzanisa zvakajeka zvichemo zvehunyanzvi kubva mumutauro wekushambadzira.
- Mutengo uye bhajeti. Iwe unogona kubvunza zvirinani kuita mibvunzo usati washandisa mari kana nguva.
- Team uye workflow. Zvikwata zvine nzwisiso yakagovaniswa inoita zvirinani chigadzirwa, mutemo, uye sarudzo dzekudzidza.
Chenjera
- Zvikwata zvakasiyana zvinogona kushandisa izwi rimwechete zvakasiyana, saka tsanangura nzvimbo nekukurumidza.
- Benchmarks inogona kutaridzika yakasimba nepo chaiyo-yenyika kuita isina kuenzana.
- Kuregeredza mhando yedata uye zvirongwa zvekuongorora zvinowanzogadzira mhedzisiro isina kusimba.
Matanho anotevera
- Tanga netsanangudzo yemutauro wakajeka yemhedzisiro yaunoda.
- Sarudza metric imwe yekubudirira uye imwe yekutadza mamiriro usati waedzwa.
- Mhanya mutyairi mudiki ane data remumiriri, kwete demo rakakwenenzverwa.
- Gwaro uko Anomaly Detection inobatsira uye uko nzira dzakareruka dziri nani.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the Anomaly Detection quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
Chii chinonzi Anomaly Detection?
Anomaly discovering itsika yekudzidzisa michina mureza data point inotsauka zvakanyanya kubva pamatanho akajairwa. Izvo zvine basa nekuti zvisingawanzo, zviitiko zvisingatarisirwi - hutsotsi, kutadza kwemidziyo, kupindira - kazhinji kunovanda mumakungwa e data renguva iyo vanhu vasingakwanise kutarisisa nemaoko.
Sei mamodhi ekuona anomaly achiwanzo dzidziswa pane 'zvakajairika' data pane kunzi anomalies?
Nekuti zvikanganiso zvechokwadi hazviwanzo uye zvakaoma kuisa mazita, modhi dzinowanzo dzidza kuti zvinotaridzika sei uye mureza wakatsauka kubva pazviri.
Sango reIsolation rinoratidza sei kusanzwisisika?
Zvekunze zviri nyore kupatsanura kubva kune yese data, saka ivo vanogarwa nezvikamu zvishoma, vachigadzira pfupi avhareji nzira kureba.
Kana autoencoder ikashandiswa kuona kusanzwisisika, chii chinoratidza kusanzwisisika?
Yakadzidziswa pane yakajairwa data, autoencoder inovakazve zvakajairwa zvinopinza zvakanaka asi inogadzira yakakura kukanganisa patsva pane zvisina kujairika.
Nzira yeLocal Outlier Factor inonyanya kutsamira pai?
LOF mireza mapoinzi akagara munzvimbo dzakapfupika, dzakadzika-density zvine hukama nevavakidzani vavo seanomalies.
Nderipi dambudziko rechokwadi kune akaiswa anomaly yekuona masisitimu?
Maitiro anoshanduka, saka izvo zvinotora seakajairika mashifiti, uye modhi dzinofanirwa kuchinjika kana kudzidziswazve kudzivirira ma alarm enhema.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi