Tafole ea likateng[Pata][Bontša]
Haeba u setsebi sa ho Ithuta ka Mochini, Artificial Intelligence, kapa motho ea chesehelang mahlale a khomphutha, mohlomong u utloisisa mohopolo le tlhoko ea data ho thusa ho ntlafatsa sistimi kapa ts'ebeletso e fanoeng.
Likhampani tsa theknoloji le lik'hamphani tsa machaba li sebelisa lintlha tse ngata ho ntlafatsa boiphihlelo ba bareki le boleng ba bona ba litšebeletso ka ho sebelisa mekhoa e tsoetseng pele ea bohlale ba khoebo ho utloisisa lintlha tsa bona. E 'ngoe ea mekhoa e hlahang le ea bohlokoa ka ho fetisisa e bitsoa analytics ea ho bolela esale pele.
Sengoliloeng sena se feta mohopolo oa lisebelisoa tsa analytics tse boletsoeng esale pele, ts'ebeliso ea tsona, le mehlala e mengata ea Mohloli o bulehileng lisebelisoa tseo u ka li sebelisang!
Lisebelisoa tsa Predictive Analytics ke life?
Lisebelisoa tsa li-analytics tsa predictive analytics ke software e khethollang lipaterone le mekhoa ka ho sekaseka le ho ntša tlhahisoleseling ho dataset e teng. Lisebelisoa tsena li sebelisa mekhoa e fapaneng ea lipalo-palo ho kenyelletsa merafo ea data, mohlala o lebelloang esale pele, le Thuto ea Mochini ho sekaseka lintlha tse fanoeng le ho etsa likhakanyo.
Lisebelisoa tsena li ka sebelisoa ho etsa moelelo oa mekhoa boitšoarong ba bareki le mekhoa e fetileng ho theha moralo oa nako e itseng ho eketsa phaello le katleho ea tšebeletso e fanoeng.
Likopo tsa Litlhahlobo tsa Predictive
Ho na le lits'ebetso tse ngata tsa lisebelisoa tsa analytics tsa ho bolela esale pele tse fapaneng ka mekhahlelo e mengata, ho kenyelletsa:
E-khoebo
- Ho sekaseka lintlha tsa bareki ho hlophisa batho ho latela khetho ea bona ea ho reka le ho bolela esale pele monyetla oa hore lihlopha tsena li reke lihlahisoa.
- Ho bolela esale pele ka Return Of Investment (ROI) ea matšolo a ho bapatsa a reriloeng.
- Ho bokella lintlha ho tsoa mabenkeleng a marang-rang a tloaelehileng joalo ka Amazon Marketplace.
Media Marketing Social
- Ho rera mofuta le mofuta oa litaba tseo u tla li ngola.
- Ho bolela esale pele letsatsi le nako e ntle ea ho beha litaba tse fanoeng.
- Ho sebetsana le Lipapatso tsa Google le lipapatso ka kakaretso.
Banking le Inshorense
- Ho fumana lintlha tsa mokitlane.
- Ho hlwaya mesebetsi ya bomenemene.
Tlhokomelo ea bophelo
- Ho beha leihlo bophelo bo botle ka kakaretso.
- Ho khetholla matšoao a pele a mathata a bophelo bo botle ho motho ka mong.
difeme
- Ho laola thepa le liketane tsa phepelo.
- Ho thusa mosebetsing oa ho romela le ho phethahatsa.
Lisebelisoa tsa Open-Source Predictive Analytics
1. Orange Data Mining
Orange ke sesebelisoa sa pono ea data le lisebelisoa tsa analytics tse etsang li-analytics tse lebelloang esale pele ka mananeo a bonoang kapa Python scripting. Setsi sena sa lisebelisoa se romelloa kantle ho naha e le laeborari ea Python mme se kenyelletsa likarolo tsa Machine Ithuta, bioinformatics, meepo ea mongolo, le litšobotsi tse ling tsa tlhahlobo ea data.
ditshebetso tse Key
- Interactive pono ea data le likarolo tsa kemelo ea kerafo.
- E kenyelletsa lenaneo la pono.
- Graphical e thehiloeng ho Canvas Interface mosebedisi (GUI) e etsa hore ho be bonolo ho e sebelisa bakeng sa ba qalang.
- E khona ho etsa analytics ea data e bonolo le e rarahaneng.
2. Anaconda
Sethala sa kabo ea data sa Python le R se bulehileng se nang le liphutheloana tse fapaneng tse fetang 250 tse sebelisoang ho tsamaisa taolo le phepelo feela. Kabo ena e sebelisa mahlale a data, Machine Ithuta lits'ebetso, le ts'ebetso e kholo ea data ho etsa analytics e boletsoeng esale pele.
ditshebetso tse Key
- Litlhahlobo tse tsoetseng pele, tšebeliso ea phallo ea mosebetsi, le tšebelisano ea data.
- Hokela mehloli eohle ea data ho ntša boleng bo bongata ho data.
- Theha mefuta e boletsoeng esale pele ea tlhahlobo ka Python, R, le Jupyter Notebooks.
- Kopanya mefuta ea hau ea tlhahlobo ea boitsebahatso ho lits'ebetso tse bohlale tsa webo le lipono tse sebetsang.
- Sebelisana 'moho ho lihlopha tsohle tsa mahlale a data u sebelisa Anaconda.
3. R Tikoloho ea Software
Tikoloho ea R e sebelisoa bakeng sa khomphutha ea lipalo le litšoantšo. E bokella le ho sebetsa lits'ebetsong tse fapaneng tse kenyelletsang UNIX, Windows, le MAC OS. Tikoloho ena e na le pokello e kholo ea lisebelisoa tsa lipakeng tsa tlhahlobo ea data le ponts'o ea litšoantšo tsa litlhahlobo tsa data.
ditshebetso tse Key
- E kenyelletsa mefuta e fapaneng ea lipalo-palo le mekhoa ea litšoantšo bakeng sa litlhahlobo tsa ho bolela esale pele.
- Lisebelisoa tse sebetsang hantle tsa ho sebetsana le data le polokelo.
- Sehlopha sa li-operator bakeng sa lipalo tse rarahaneng tsa lethathamo la lintlha le lipalo-palo.
- Tšehetso e fumanehang marang-rang ho tsoa sechabeng sa R.
4. Scikit-Ithute
Ena ke laebrari ea ho Ithuta ka Mochini bakeng sa puo ea lenaneo la Python. E kenyelletsa li-algorithms tse fapaneng tsa ho arola, ho theola, le ho kopanya ho kenyelletsa le Mechini ea Ts'ehetso ea Vector (SVMs), meru e sa sebetseng, le k-means clustering e leng molemo haholo bakeng sa ho etsa mohlala o lebelloang esale pele. Leha ho le joalo, tsebo e tsoetseng pele ea mananeo e ea hlokahala hore o tsebe ho etsa li-analytics tsa ho bolela esale pele o sebelisa Scikit-Learn.
ditshebetso tse Key
- Ts'ebetso e tsoetseng pele ea data e kenyelletsa ho bonts'a datha ka mokhoa o bonoang le oa tabula, ho hlophisa lintlha ka likarolo tsa matrices kapa li-vector tse shebiloeng.
- Ho na le mefuta e mengata ea lihlopha, ho fokotseha, le lihlopha tse fumanehang bakeng sa li-analytics tsa ho bolela esale pele.
- Metrics e mengata ea ho nepahala ho lekola ts'ebetso ea mohlala oa ponelopele.
5. Weka Data Mining
Weka ke pokello ea li-algorithms tsa ho Ithuta Mochini bakeng sa mesebetsi ea ho etsa mohlala e boletsoeng esale pele e ngotsoeng ka Java. Li-algorithms tsena li ka sebelisoa ho data ea hau ka kotloloho kapa tsa bitsoa ho sebelisa Javascript. Mekhoa ea tlhahlobo ea data e fanoeng ke Weka e kenyelletsa meepo ea data, ho e lokisa esale pele, le mekhoa ea ho bona ka mahlo. Weka hape e sebelisa mekhoa ea ho arola, ho fokotseha, le ho kopanya bakeng sa litlhahlobo tsa ho bolela esale pele.
ditshebetso tse Key
- Mekhoa ea ho lokisa le ho bona lintlha esale pele.
- Karolelano ea data, ho fokotseha, le li-algorithms tsa ho kopanya.
- Melao e pharalletseng ea likamano ho bolela esale pele mekhoa ea data.
- Software e nkehang habobebe le ea memori ea sebaka.
6. Mohlokomeli oa Apache
Tikoloho e bonolo le e atolositsoeng ea mananeo le moralo oa ho aha li-algorithms tsa ho Ithuta tsa Mochini tse scalable le tse sebetsang hantle. Tikoloho e kenyelletsa li-algorithms tse 'maloa tse entsoeng esale pele tsa Scala, Apache Spark, le Apache Flint. Tikoloho ena e sebelisa Samsara, teko ea lipalo ea vector e ts'oanang le puo ea R e sebetsang ka bongata.
ditshebetso tse Key
- Tlhophiso e kopanetsoeng ho aha litsamaiso tsa likhothaletso.
- Li-algorithms tsa Clustering le classification bakeng sa ho etsa mohlala oa esale pele.
- E ts'ehetsa linako tse behiloeng khafetsa bakeng sa ho ntšoa ha data e tsoetseng pele.
- Linear algebra opareitara le sesebediswa sa algebra se abilweng bakeng sa ditlhahlobo tse tsoetseng pele tsa dipalopalo.
- E theha li-algorithms tse scalable bakeng sa li-analytics tse boletsoeng esale pele.
7. GNU Octave
Software ena e emela puo ea boemo bo holimo e reretsoeng lipalo tsa lipalo. Software ena e na le syntax e matla e shebaneng le lipalo e nang le lisebelisoa tse hahelletsoeng ka har'a meralo le lisebelisoa tsa pono bakeng sa analytics ea data e tsoetseng pele. GNU Octave e tsamaisana le mengolo ea MATLAB le lits'ebetso tse kenyelletsang GNU/Linux, MAC OS, le Windows.
ditshebetso tse Key
- Lisebelisoa tse hahelletsoeng ka har'a 2D/3D tsa ho rala le ho bona litšoantšo.
- E ts'ehetsa palo ea liphutheloana tsa lipalo tsa GNU bakeng sa tlhahlobo ea data.
- E sebelisa mokhoa oa ho bolela esale pele oa lipalo.
- Bokhoni ba ho tsamaisa mefuta ea ponelopele ea MATLAB le li-algorithms tsa ho Ithuta ka Mochini.
8. SciPy
Pokello ea software e thehiloeng mohloling o bulehileng oa Python e sebelisetsoang komporo ea mahlale le mahlale. SciPy e na le liphutheloana tsa mantlha tse fanang ka lisebelisoa tsa komporo bakeng sa Python. E sebelisa mekhoa e tsoetseng pele ea ho sebetsana le data le mehlala ea ho bolela esale pele ho kenyeletsoa k moahelani ea haufi, moru o sa reroang, le marangrang a neural.
SciPy e fumaneha joalo ka Laebrari ea Python liphaellong tse ngata tsa Python mme ke sephutheloana sa Anaconda.
ditshebetso tse Key
- Li-module tsa optimization, linear algebra, kopanyo, tlhaloso, mesebetsi e khethehileng, FFT, le li-solvents tsa ODE.
- E fana ka mesebetsi e fapaneng bakeng sa lets'oao, litšoantšo le ts'ebetso ea data.
- E tšehetsa NumPy le Matplot.
fihlela qeto e
Joale o lokela ho ba le mohopolo o motle mabapi le lisebelisoa tsa tlhahlobo ea tlhaiso-leseling ea mohloli o bulehileng, lits'ebetso tsa bona, le kamoo ba sebelisang mekhoa e tsoetseng pele ea ho bolela esale pele ka data.
Lisebelisoa tsohle tse boletsoeng li lokolohile ka botlalo ho sebelisoa le ho fumaneha ho bohle. Haeba u kile ua sebelisa lisebelisoa tsena pele, re tsebise ka phihlelo ea hau ho maikutlo.
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