Kokanisa ndenge ya kosalela Machine Learning mpe Deep Learning.
Machine Learning (ML) mpe Deep Learning (DL) ezali ba sous-ensembles mibale ya Intelligence Artificielle oyo ezui attention mingi na ba mbula oyo euti koleka. Na moboko na yango, nyonso mibale esangisi bamasini ya kopesa mateya mpo na koyekola na ba données, mpo na kozwa bikateli mpe bisakweli ya mayele. Kasi, ezali na mwa bokeseni ya moboko na lolenge ya kosalela ML mpe DL, architecture na yango, mpe bosaleli na yango. Machine Learning esalelaka ba algorithmes pona ko analyser pe koyekola na ba données, pona kozua ba décisions informées. Ba algorithmes oyo ekoki kokabolama na ba types mibale ya minene - apprentissage supervisée na sans supervisée. Boyekoli oyo etambwisami esɛngaka kopesa formasyo na modèle moko na ensemble ya ba données oyo ezali na étiquette, esika oyo ba entrées mpe ba sorties eyebani, mpe algorithme eyekolaka boyokani kati na yango. Nzokande, boyekoli oyo ezali na bokengeli te, etali ba données oyo ezali na étiquette te, esika algorithme esengeli koluka ba modèles mpe ba relation yango moko. ML ezali na ba applications ebele, kobanda na ba systèmes ya recommandé na reconnaissance ya image, tii na traitement ya langue naturelle mpe même analyse ya marché. Deep Learning, eteni moke ya Machine Learning, epemamaki na structure mpe fonctionnement ya cerveau ya moto. Esalelaka ba réseaux neuronaux artificiels (ANN) mpo na koyekola mpe kozwa bikateli. Ba réseaux neuronaux wana ezali na ba couches ya ba noeuds interconnectés, esika couche moko na moko e traité ba informations oyo ezuami na couche oyo eleki, mpe elekisaka yango na couche oyo elandi. Architecture oyo ya couches ebele epesaka DL nzela ya kozua précision incroyable na misala lokola reconnaissance ya image na elobeli, pe traitement ya langue naturelle. Na bokuse, atako ezala Machine Learning mpe Deep Learning esalelamaka mpo na mikano ya suka ya ndenge moko, ba architectures mpe ba méthodes na yango ekeseni. Mbala mingi Boyekoli ya Mozindo ezalaka na mindondo mingi mpe esengaka ba données mingi mpo na kopesa formasyo, kasi ekoki kozua bosikisiki ya likolo na misala mosusu. Epayi mosusu, Machine Learning ekoki kozala malamu mingi mpo na misala oyo ezali na mindondo mingi te, to mpo na makambo oyo ensemble ya ba données ezali moke. Kasi, ML mpe DL emonisami ete ezali bisaleli ya nguya ya kokamwa, mpe bosaleli na yango ekolanda kopanzana mpe kokola lokola esika ya AI ezali kokende liboso.