Kukurukurirana - 

0

Kukurukurirana - 

0

Chakagadzirwa Intelligence Algorithms

chakagadzirwa Intelligence mutauro wemuchina uko muchina unogona kuita uye kufunga semunhu. chakagadzirwa Intelligence ine simba rakakura pahupfumi hwenyika uye kuwedzera kwayo mazuva ese nekukura kukuru. Sezvo AI iri kukura zuva nezuva, mashandisiro ayo ari mumunda wega wega seRobotics, Zvekurima, Nezveutano, Marketing, mari nezvimwe zvakawanda. Kune mhando dzakasiyana Machine kudzidza ndiko kuti:-Kutariswa Learning, Vasina kutariswa Learning, Kusimbisa Learning, uye Ensemble Learning

MuMuchina Mutauro, michina inoshandisa zvimwe zvekushandisa uye nekuita masvomhu logics, inogadzira zvinobuda. Machine Mutauro unozivikanwa se subfield ye chakagadzirwa Intelligence. asi chakagadzirwa Intelligence Algorithm inoshandisa zvese zvinobuda uye zvekuisa panguva imwe chete kuitira kuti ibudise mitsva yekubuda kwedata mushure mekuwana zvitsva.

Mhando dzeAI Algorithms

Chimwe chezvikamu zvikuru zve chakagadzirwa Intelligence Algorithm iri kusarudza iyo chaiyo muchina wekudzidza maitiro uye nzira yekugadzirisa chero basa. Kune akawanda maalgorithms mumunda weTech nekushandisa izvo, masangano nemapoka akasiyana ari kuwana mabhenefiti munzira dzakasiyana. Mhando dzakasiyana dzeAlgorithms dzinogona kushandiswa kugadzirisa matambudziko akasiyana. Pazasi pane akasiyana marudzi e chakagadzirwa Intelligence Algorithms.

1. Kupatsanura algorithms

Kupatsanura Maalgorithms anouya muchikamu cheAnotarisirwa Machine Learning, kupi kwekutanga maitiro, seti yedhata inoda mamwe makirasi. MuKupatsanura Algorithms, iwo maalgorithms anoshandiswa kupatsanura nyaya kusiana mumhando dzakasiyana dzemakirasi kufanofungidzira makirasi eanopihwa. Chinangwa chikuru chegadziriro Algorithm ndeyekuverenga chikamu che data. Semuenzaniso-Rongedza maemail se spam kana kwete. Ma algorithms akasiyana anoshandiswa muKupatsanura Maalgorithms anotevera.

Naive Bayes

Rudzi rwealgorithm urwu runotevera the Bayes theorem, iyo inotevera nzira yekufungidzira. Kune yega yega kirasi, iyo algorithm ine seti yezvakaitika zvisati zvaitika. Aya maalgorithms anokurumidza-uye anowanzo shandiswa mukusefa kwe spam.

Sarudzo Miti

Sarudzo miti inowanzo shandiswa senge kuyerera machati.

Sango risina kujairika

Iboka remiti yakasiyana uko. Iko kupihwa kwakapihwa kwakakamurwa uye kunodyiswa mumiti yakasarudzika yemiti. Mhinduro yedata ndiyo avhareji kuburitsa yemiti yese yesarudzo Aya algorithms ari echokwadi chaizvo kana achienzaniswa neZvisarudzo

Tsigira mavheti emuchina

Tsigiro Vector Machines akasarudzika anoisa data nekushandisa iyo hyper chirongwa. Inoedza kuronga iyo data ine yakanyanya margin pakati pemakirasi maviri.

K-vavakidzani vepedyo

Mune iyi algorithm, mashanga ese e data akapatsanurwa kuita akasiyana makirasi kuti awane mharidzo nyowani.

2. Kudzvinyirira algorithms

MuRegression algorithms, maalgorithms anogona kufanotaura kukosha kwezvinobuda zvichienderana nedata rekuisa iro rinodyiswa mu kudzidza system. Iyo yakakurumbira algorithm inouya pasi pechikamu cheanotariswa Machine kudzidza algorithms. Mimwe yemashandisirwo anonyanya kushandiswa ekugadzirisa maitiro ari kufanotaura mamiriro ekunze, kufungidzira mutengo wemusika wemari, nezvimwewo maalgorithms akasiyana anoshandiswa muRegression Algorithms anotevera.

Kudzokorora Kwemashoko

Ndiyo mhando yakapusa uye inoshanda yeAlgorithm. Iyi algorithm inodhonza mutsetse uri nyore pakati penzvimbo dzakasiyana dzedhata uye nekushandisa yakanakisa mutsetse, fungidzira hutsva hutsva

Kudzora kweLasso

Lasso Regression inoshanda pakuwana iyo subset yekufungidzira vales iyo inoderedza kukanganisa kwePrediction mumhinduro inoshanduka.

Kudzvinyirira Kunogadzirisa

Binary Classification inoshandiswa muRogistic regression. Kufungidzira kukosha kwevatengi kwehupenyu, kukosha kweimba mimwe mienzaniso yeiyi algorithm. 

Multivariate Kudzora

Kana paine zvimwe zvekufungidzira zvinoshanduka, A Multivariate regression algorithm inoshandiswa.

Yakawanda Kudzora Algorithm

Iko kusanganiswa kwekudzoka kwemitsetse uye kusagadziriswa kwemutsara.

3. Kuunganidza algorithms

Clustering Algorithms inouya pasi pechikamu chisina kuchengetedzwa Machine kudzidza. Maitiro emhando idzi dzealgorithms kupatsanura nekuronga iyo data mumapoka akasiyana zvichienderana nekufanana kwavo mukati memitezo yakafanana yeboka. Nekudaro mune iyi Algorithm, chinangwa chikuru ndechekuunganidza zvinhu zvakafanana muboka umo zviri nyore uye zvinobudirira kugadzirisa chero basa rakapihwa. Semuenzaniso, panguva ipi neipi yekubiridzira mumakadhi ekubhengi kana makadhi echikwereti, zviitiko zvese zvekunyepedzera zvinogona kurongedzwa zviri nyore. Ma algorithms akasiyana anoshandiswa muRegression Algorithms anotevera.

K-zvinoreva kusanganisa

Mune iyi algorithm, inounganidza mapoinzi akafanana uye inoabatanidza pamwechete kuita sumbu umo K inomiririra masumbu akasiyana. K-Means Clustering ndiyo yakapusa isina anotariswa kudzidza Algorithm

Fuzzy C-zvinoreva algorithm

Fuzzy C-zvinoreva Algorithm inoshanda paPamwe. Inomirira FCM.

Tarisiro-Kugonesa algorithm

Iyi Algorithm iri zvichibva pakuparadzirwa kweGaussia.

Hierarchical kuunganidza algorithm

Kune mhando mbiri dzeiyi algorithm, Divisive clustering, yekumusoro-pasi nzira uye Agglomerative clustering, yepasi-kumusoro nzira. Mushure kudzidza iyo data mapoinzi uye kuita zvakafanana kucherechedzwa, iyo Hierarchical Clustering Algorithm inoronga masumbu ehierarchical kurongeka.

Aya anongova mamwe ema algorithms. Mune izwi rekuti Kururamisa nekumhanyisa, Algorithm ine zvayakanakira nezvayakaipira. AI yakapa nyowani kumeso kune tech mumatunhu ese kugadzirisa matambudziko akaoma. Yega algorithm inogona kusarudzwa pane iyo inoda data data

Tags:

Anurag

0 Comments

Subscribe To Newsletter Vedu

Subscribe To Newsletter Vedu

Joinha yedu yekutumira runyorwa kuti ugamuchire zvazvino nhau nekuvandudzwa kubva kuchikwata chedu.

Iwe Zvinobudirira akanyoresa!

Share This
%d bloggers seizvi: