Okuqukethwe[Fihla][Bonisa]
Uma ungumfundi Wokufunda Ngomshini, Artificial Intelligence, noma umshisekeli wesayensi yekhompyutha, cishe uyawuqonda umqondo nesidingo sedatha ukusiza ukuthuthukisa isistimu noma isevisi ethile.
Izikhondlakhondla zezobuchwepheshe nezinkampani zamazwe ngamazwe zisebenzisa inqwaba yedatha ukuze zithuthukise ulwazi lwamakhasimende kanye nekhwalithi yawo yonke yesevisi ngokusebenzisa amasu athuthukile obuhlakani bebhizinisi ukwenza idatha yabo ibe nengqondo. Enye yezindlela ezisafufusa nezibaluleke kakhulu ibizwa ngokuthi i-predictive analytics.
Lesi sihloko sidlula umqondo wamathuluzi ezibalo ezibikezelayo, ukusetshenziswa kwawo, kanye nenani lezibonelo ze evulekile-umthombo amathuluzi ongawasebenzisa!
Ayini Amathuluzi Ezibalo Eziqagelayo?
Amathuluzi ezibalo zokubikezela isofthiwe enquma amaphethini namathrendi ngokuhlaziya nokukhipha ulwazi kudathasethi ekhona. Lawa mathuluzi asebenzisa amasu ezibalo ahlukahlukene ahlanganisa ukumbiwa kwedatha, ukumodela okubikezelwayo, kanye Nokufunda Ngomshini ukuhlaziya idatha enikeziwe nokwenza izibikezelo.
Lawa mathuluzi angasetshenziswa ukwenza umqondo wamaphethini ekuziphatheni kwabathengi namathrendi angaphambilini ukuze kwakheke uhlelo lwesikhathi esithile ukuze kwandiswe inzuzo nempumelelo yesevisi enikeziwe.
Izicelo ze-Predictive Analytics
Kunezinhlelo zokusebenza eziningi zamathuluzi ezibalo ezibikezelayo ezihamba phezu kwezinkambu ezimbalwa, okuhlanganisa:
E-commerce
- Ukuhlaziya idatha yekhasimende ukuze kuqoqwe abantu ngokusekelwe kulokho abakuthandayo bese kubikezela ukufana kwalawa maqembu okuthenga imikhiqizo.
- Ukubikezela Ukubuyiswa Kotshalomali (ROI) kwemikhankaso yokumaketha okuhlosiwe.
- Iqoqa idatha ezitolo eziku-inthanethi eziyimfashini njenge-Amazon Marketplace.
Social Media Marketing
- Ukuhlela uhlobo nohlobo lokuqukethwe ozokuthunyelwa.
- Ukubikezela usuku olungcono kakhulu nesikhathi sokuthumela okuqukethwe okunikeziwe.
- Ukuphatha Izikhangiso ze-Google kanye nezikhangiso ngokujwayelekile.
Ukubhankanya kanye nomshuwalense
- Ukuthola izilinganiso zekhredithi.
- Ukuhlonza imisebenzi yokukhwabanisa.
Ukunakekela impilo
- Ukuqapha impilo jikelele.
- Ukuhlonza izimpawu zokuqala zezinkinga zempilo kumuntu ngamunye.
Ukukhiqiza
- Ukuphatha i-inventory kanye ne-supply chain.
- Ukusiza ekuthumeni nasekugcwaliseni inqubo.
Amathuluzi okuhlaziya okuqagelayo womthombo ovulekile
1. I-Orange Data Mining
I-Orange ithuluzi lokubuka idatha ne-analytics elenza ukuhlaziya okubikezelayo ngohlelo olubonakalayo noma i-Python scripting. Le khithi yamathuluzi ingeniswa njengelabhulali yePython futhi ihlanganisa izingxenye ze Ukufunda komshini, i-bioinformatics, imayini yombhalo, nezinye izici zokuhlaziya idatha.
Izimpawu ezisemqoka
- Ukusebenzisana ukubona ngemininingwane kanye nezici zokumelwa kwezithombe.
- Kubandakanya ukuhlela okubukwayo.
- I-Canvas-based Graphical Isixhumanisi somsebenzisi (GUI) yenza kube lula ukuyisebenzisela abaqalayo.
- Iyakwazi ukwenza izibalo zedatha ezilula neziyinkimbinkimbi.
2. Anaconda
Inkundla yesayensi yedatha yomthombo ovulekile yePython kanye nenkundla yokusabalalisa engu-R enamaphakheji adumile angaphezu kuka-250 asetshenziselwa ukumane ukupakishe ukuphathwa nokusetshenziswa. Lokhu kusatshalaliswa kusebenzisa isayensi yedatha, Ukufunda komshini izinhlelo zokusebenza, kanye nokucubungula idatha ngezinga elikhulu ukwenza ukuhlaziya okubikezelwayo.
Izimpawu ezisemqoka
- Izibalo ezithuthukile, ukusetshenziswa kokugeleza komsebenzi, nokusebenzisana kwedatha.
- Xhuma yonke imithombo yedatha ukuze ukhiphe inani elikhulu kudatha.
- Dala amamodeli wokuhlaziya abikezelayo ngePython, R, kanye I-Jupyter Notebooks.
- Hlanganisa amamodeli akho ezibalo ezibikezelayo ube izinhlelo zokusebenza zewebhu ezihlakaniphile kanye nokuboniswa okusebenzisanayo.
- Hlanganyela kuwo wonke amaqembu esayensi yedatha usebenzisa i-Anaconda.
3. R Software Environment
Imvelo ka-R isetshenziselwa ukwenza ikhompuyutha yezibalo kanye nemifanekiso. Ihlanganisa futhi isebenze kumasistimu wokusebenza ahlukahlukene ahlanganisa i-UNIX, iWindows, ne-MAC OS. Le ndawo ineqoqo elikhulu lamathuluzi amaphakathi okuhlaziya idatha kanye nokuboniswa kwesithombe sokuhlaziya idatha.
Izimpawu ezisemqoka
- Kufaka phakathi amamodeli ezibalo ahlukahlukene kanye nezindlela zokuqhafaza zezibalo eziqagelayo.
- Izinsiza ezisebenzayo zokuphatha nokugcinwa kwedatha.
- Uchungechunge lwama-opharetha lwezibalo zamalungu afanayo edatha eyinkimbinkimbi kanye nezibalo zezibalo.
- Usekelo olutholakala ku-inthanethi emphakathini wakwa-R.
4. Scikit-Funda
Lona umtapo Wokufunda Ngomshini wolimi lohlelo lwePython. Kuhlanganisa ukuhlelwa okuhlukahlukene, ukuhlehla, kanye nokuhlanganisa ama-algorithms okuhlanganisa Imishini Yokusekela Vector (ama-SVM), amahlathi angahleliwe, kanye nokuhlanganisa kwe-k okuwusizo kakhulu ekufaniseni okubikezelwayo. Nokho, ulwazi lokuhlela oluthuthukisiwe luyadingeka ukuze ukwazi ukwenza ukuhlaziya okubikezelayo usebenzisa i-Scikit-Learn.
Izimpawu ezisemqoka
- Ukuphathwa kwedatha okuthuthukisiwe kufaka phakathi ukubonisa idatha ngefomu elibonakalayo nelethebula, ukuhlela idatha ibe ama-matrices wesici noma ama-vector aqondiwe.
- Inani lokuhlukanisa, ukuhlehla, kanye namamodeli wokuhlanganisa atholakalayo kuzibalo ezibikezelayo.
- Amamethrikhi wokunemba amaningi okuhlola ukusebenza kwemodeli eqagelayo.
5. I-Weka Data Mining
I-Weka iqoqo lama-algorithms wokufunda ngomshini wemisebenzi yokubikezela ebhalwe nge-Java. Lawa ma-algorithms angasetshenziswa kudatha yakho ngokuqondile noma abizwe kusetshenziswa i-Javascript. Izindlela zokuhlaziya idatha ezinikezwe i-Weka zifaka phakathi ukumbiwa kwedatha, ukucubungula kusengaphambili, nezindlela zokubuka ngeso lengqondo. I-Weka iphinda isebenzise ukuhlukanisa, ukuhlehla, nokuhlanganisa amamodeli wokuhlaziya okubikezelayo.
Izimpawu ezisemqoka
- Amasu okucubungula idatha kanye nezindlela zokubuka.
- Ukuhlelwa kwedatha, ukuhlehla, nokuhlanganisa ama-algorithms.
- Imithetho ebanzi yokuhlotshaniswa yokubikezela amathrendi kudatha.
- Isofthiwe ephathekayo nenkumbulo isikhala.
6. U-Apache mahout
Indawo yokuhlela elula nenwebekayo kanye nohlaka lokwakha ama-algorithms okufunda ngomshini angakala futhi enze kahle. Imvelo ifaka phakathi inani le-algorithms eyenziwe ngaphambilini ye-Scala, i-Apache Spark, ne-Apache Flint. Le ndawo isebenzisa i-Samsara, ukuhlola kwezibalo zevekhtha okufana nolimi lwe-R olusebenza esikalini.
Izimpawu ezisemqoka
- Ukuhlunga ngokubambisana ukwakha amasistimu wokuncoma.
- Ama-algorithms okuhlanganisa nokuhlukanisa amamodeli wokubikezela.
- Isekela isikhathi sesethi yezinto ezivamile zokukhishwa kwedatha ethuthukisiwe.
- I-opharetha ye-algebra yomugqa kanye nesikhuthazi se-algebra esisabalalisiwe sokuhlaziya izibalo ezithuthukile.
- Yakha ama-algorithms angakala wokuhlaziya okubikezelwayo.
7. I-GNU Octave
Le softhiwe imele ulimi olusezingeni eliphezulu oluhloselwe ukubala izinombolo. Le softhiwe ine-syntax enamandla egxile ezibalweni enesakhiwo esakhelwe ngaphakathi namathuluzi okubona okuhlaziya idatha okuthuthukile. I-GNU Octave iyahambisana nemibhalo ye-MATLAB nezinhlelo zokusebenza ezihlanganisa i-GNU/Linux, i-MAC OS, ne-Windows.
Izimpawu ezisemqoka
- I-2D/3D eyakhelwe ngaphakathi amathuluzi wokuhlela idatha kanye nokubona ngeso lengqondo.
- Isekela inani lamaphakheji ezibalo e-GNU okuhlaziya idatha.
- Isebenzisa imodeli yokubikezela egxile ezibalweni.
- Ikhono lokusebenzisa amamodeli aqagelayo e-MATLAB kanye nama-algorithms wokufunda ngomshini.
8. I-SciPy
Iqoqo lesoftware esekelwe kumthombo ovulekile yePython esetshenziselwa ikhompuyutha yobuchwepheshe nesayensi. I-SciPy ifaka amaphakheji ayisisekelo ahlinzeka ngamathuluzi ekhompyutha wePython. Isebenzisa amasu okuphatha idatha athuthukile namamodeli abikezelayo afaka umakhelwane oseduze k, ihlathi elingahleliwe, kanye amanethiwekhi we-neural.
I-SciPy iyatholakala njenge Ilabhulali yePython ekusatshalalisweni okuningi kwePython futhi iyiphakheji e-Anaconda.
Izimpawu ezisemqoka
- Amamojula okuthuthukisa, i-algebra yomugqa, ukuhlanganisa, ukuhumusha, imisebenzi ekhethekile, i-FFT, nezixazululi ze-ODE.
- Inikeza imisebenzi eyahlukene yesiginali, isithombe, nokucubungula idatha.
- Isekela i-NumPy ne-Matplot.
Isiphetho
Manje kufanele ube nombono omuhle mayelana namathuluzi okuhlaziya okuqagela umthombo ovulekile, izinhlelo zokusebenza, nendlela asebenzisa ngayo amasu athuthukile ukwenza izibikezelo ngedatha.
Wonke amathuluzi ashiwo amahhala ngokuphelele ukuthi asetshenziswe futhi atholakale kuwo wonke umuntu. Uma uke wasebenzisa lawa mathuluzi ngaphambilini, sazise mayelana nolwazi lwakho kumazwana.
shiya impendulo