Haeba u setsebi sa boenjineri ba software, mofuputsi oa mahlale a data, kapa motho ea chesehelang theknoloji ka kakaretso, u tlameha ho tseba karolo e ka sehloohong ea Artificial Intelligence (AI) e tsejoang ka ho Ithuta ka Mochini.
U tlameha hape ho ela hloko lits'ebetso tse ngata tse khahlang tsa AI ho tloha ho ho lemoha mokhoa o bonolo le temoho ea puo ho isa ho bathusi ba sebetsang ba bohlale ba kopaneng. Lisebelisoa tsena le tse ling tse ngata li khoneha ka boiteko ba Baenjiniere ba ho Ithuta ba Mechini.
Sengoliloeng sena se bua ka hore na Baenjiniere bana ke bo-mang, ba etsa eng, le hore na ke litsebo life tse hlokahalang e le hore u ka ba Moenjiniere oa ML ea hloahloa.
Baenjiniere ba ho Ithuta ka Mechini ba etsa'ng?
Machine Ithuta (ML) Baenjiniere ba kopanya tsebo ea lipalo le ho rarolla mathata le thekenoloji ea lenaneo la software e le ho etsa mekhoa ea AI ho rarolla mathata a sebele a lefats'e. Ho hlokahala hore ML Engineer a sebetse e le mohlahlobi oa lintlha ho sebetsa le ho fetola data ho latela tlhoko e fanoeng le ho haha, ho koetlisa, ho tiisa le ho lekola tatellano ea ML ka mokhoa oa mohlala ho datha e fanoeng.
E ka 'na eaba Baenjiniere ba joalo ba sebetsa le k'hamphani lefapheng la theknoloji, ka boithaopo e le moqapi kapa mofuputsi oa mathata a ML. Ka tsela efe kapa efe, ho na le litlhoko tse 'maloa tsa litsebo tse hlokang ho finyelloa e le hore u tsebe ho ba Moenjiniere oa ML. Tsebo ena e tšohliloe ka botlalo ka tlase.
5 Tseo U Lokelang ho ba le Tsebo ea ML
1. Monyetla le Tlhahlobo ea Lipalo-palo
E 'ngoe ea litlhokahalo tsa ML e kenyelletsa kutloisiso ea mahareng ea lihlooho ho kenyelletsa le monyetla le lipalo. Sena sea hlokahala kaha li-algorithms le mehlala ea ML li thehiloe holim'a melao-motheo ena ea lipalo 'me li ke ke tsa hahoa ntle le tsona.
Monyetla o bohlokoa haholo ha ho tluoa tabeng ea ho sebetsana le lintho tse kentsoeng, tse hlahisoang, le ho hloka bonnete ba lefatše la sebele. Melao-motheo e meng ea monyetla e sebelisitsoeng ho ML e kenyelletsa monyetla oa maemo, molao oa Bayes, monyetla, le boikemelo. Lipalo-palo li re fa mehato e hlokahalang bakeng sa ho aha mefuta ea ML e kenyelletsang moelelo, bohareng, phapang, kabo (junifomo, e tloaelehileng, binomial, Poisson), le mekhoa ea tlhahlobo e kenyelletsang tlhahlobo ea maikutlo.
2. Metheo ea Lenaneo
Tlhokahalo e 'ngoe ea ML ke ho ba le kutloisiso ea mantlha ea mananeo. Sena se kenyelletsa kutloisiso e nepahetseng ea libopeho tsa data, ho kenyeletsoa mekoloko, mela, mefuta e mengata ea mefuta-futa, lifate, li-graph, joalo-joalo, le li-algorithms, ho kenyeletsoa ho batla, ho hlopha, ho ntlafatsa, mananeo a matla, joalo-joalo.
Khetha puo ea hau
Ho latela lipuo tsa mananeo, molemo ka ho fetisisa oa ho ithuta bakeng sa ML ke Python e lateloang ke Java. Lebaka ke hore Python e na le ts'ehetso e kholo ka ho fetisisa ea inthanete mabapi le khoutu e teng, meralo le thuso ea sechaba.
Tseba IDE ea hau
Mohato o latelang ke ho itloaetsa Tikoloho e Kopantsoeng ea Ntlafatso (IDE). Kaha re sebetsana le lintlha tse ngata tse kholoanyane, IDE ea hau e ke ke ea ba Command Line Interface (CLI) ho e-na le sesebelisoa se kang Visual Studio Code kapa Buka ea Jupyter. Joalo ka Python, Jupyter e na le ts'ehetso e kholo ka ho fetisisa inthaneteng mme e sebelisoa ke barupeli ba bangata ba ML bakeng sa merero ea thuto hape.
Utloisisa Lilaebrari
Lilaebrari ke pokello ea lisebelisoa tse hlokang ho romelloa ka har'a lenaneo pele li sebelisoa. Ho na le lilaebrari tse 'maloa tsa ML tse kang TensorFlow, Keras, PyTorch, Pandas, Matplotlib, Numpy, joalo-joalo Ho bohlokoa hore ML Engineer a be le kutloisiso e ntle ea ML le lilaebrari tse sebetsanang le data ho etsa hore mananeo a be bonolo le ho sebelisana haholoanyane.
3. Data Modeling le Evaluation
E 'ngoe ea likarolo tsa bohlokoa tsa ML ke mokhoa oa ho hakanya sebopeho sa motheo sa dataset e fanoeng e le ho fumana mekhoa e sebetsang, ke hore, likamano, lihlopha, li-eigenvectors. Hape re tla hloka ho bolela esale pele litšobotsi tsa maemo a data ho kenyelletsa ho fokotseha, ho hlophisoa, le ho lemoha ka mokhoa o sa tloaelehang. Moenjiniere oa ML o hloka ho khona ho lekola mohlala o fanoeng a sebelisa metric le leano la ho nepahala.
4. Ho Sebelisa Mekhoa ea ho Ithuta ka Mochini
Karolo e 'ngoe ea bohlokoa ea ML ke ho khona ho sebelisa li-algorithms tsa ML. Ke habohlokoa ho hlokomela hore ho iketsetsa mohlala oa hau ha hoa tloaeleha kaha mefuta e mengata ea ML le ts'ebetsong e se e fumaneha lilaebraring tse kang Keras le scikit-learn. Leha ho le joalo, ho sebelisa mehlala ena ka mokhoa o atlehang ka ho fetisisa le ho latela pokello ea boitsebiso ho hloka bokhoni le kutloisiso e ntle ea mefuta ea ML ka kakaretso.
Moenjineri oa ML o boetse o hloka ho tseba melemo le likotsi tse amanang le mekhoa e fapaneng le litaba tse ka bang teng joalo ka ho fetella, ho se sebetse hantle, leeme le mathata a fapaneng.
5. Haha Neural Networks
Neural Networks (NNs) ke karolo ea karolo e nyane ea ML e tsejoang e le Thuto e tebileng 'me ke tlhoko e atolositsoeng ha ho tluoa mahlaleng a bohlokoa a ML. Leha ho le joalo, lits'ebetsong tse sebetsang haholoanyane tsa ML, re hloka ho ba le kutloisiso e itseng ea li-NN ho theha mehlala e matla bakeng sa litsamaiso tsa rona tsa AI.
NN e sebelisa likarolo le li-neurone ho theha mefuta e matla ea ML. Moenjiniere oa ML o lokela ho tseba ho haha, ho koetlisa, ho netefatsa le ho leka li-NN.
fihlela qeto e
Joale u lokela ho utloisisa hantle hore na ke mang Machine Ithuta Baenjiniere ke, seo ba se etsang, le hore na ke litsebo life tse hlokahalang hore u qale leeto la hau. U hloka ho tseba hantle menyetla, tlhahlobo ea lipalo, mananeo, mohlala oa data, lits'ebetso tsa algorithms, le ho haha marang-rang a methapo ho aha litharollo tse matla tsa AI le ML.
Re tsebise maikutlong hore na sengoloa se thusitse le hore na u nahana hore tsebo ea bohlokoahali ea ho ba ML Engineer ke efe.
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