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人工智能算法简介
浜哄伐鏅鸿兘鐨勪笁澶у熀鐭斥€旂畻娉曘€佹暟鎹拰璁$畻鑳藉姏锛岀畻娉曚綔涓哄叾涓箣涓€锛屾槸闈炲父閲嶈鐨勶紝閭d箞浜哄伐鏅鸿兘閮戒細娑夊強鍝簺绠楁硶鍛紵涓嶅悓绠楁硶閫傜敤浜庡摢浜涘満鏅憿锛?br/>
涓€銆佹寜鐓фā鍨嬭缁冩柟寮忎笉鍚屽彲浠ュ垎涓虹洃鐫e涔狅紙SupervisedLearning锛夛紝鏃犵洃鐫e涔狅紙UnsupervisedLearning锛夈€佸崐鐩戠潱瀛︿範锛圫emi-supervisedLearning锛夊拰寮哄寲瀛︿範锛圧einforcementLearning锛夊洓澶х被銆?br/>
甯歌鐨勭洃鐫e涔犵畻娉曞寘鍚互涓嬪嚑绫伙細
锛?锛変汉宸ョ缁忕綉缁滐紙ArtificialNeuralNetwork锛夌被锛氬弽鍚戜紶鎾紙Backpropagation锛夈€佹尝灏斿吂鏇兼満锛圔oltzmannMachine锛夈€佸嵎绉缁忕綉缁滐紙ConvolutionalNeuralNetwork锛夈€丠opfield缃戠粶锛坔opfieldNetwork锛夈€佸灞傛劅鐭ュ櫒锛圡ultilyerPerceptron锛夈€佸緞鍚戝熀鍑芥暟缃戠粶锛圧adialBasisFunctionNetwork锛孯BFN锛夈€佸彈闄愭尝灏斿吂鏇兼満锛圧estrictedBoltzmannMachine锛夈€佸洖褰掔缁忕綉缁滐紙RecurrentNeuralNetwork锛孯NN锛夈€佽嚜缁勭粐鏄犲皠锛圫elf-organizingMap锛孲OM锛夈€佸皷宄扮缁忕綉缁滐紙SpikingNeuralNetwork锛夌瓑銆?br/>锛?锛夎礉鍙舵柉绫伙紙Bayesin锛夛細鏈寸礌璐濆彾鏂紙NaiveBayes锛夈€侀珮鏂礉鍙舵柉锛圙aussianNaiveBayes锛夈€佸椤规湸绱犺礉鍙舵柉锛圡ultinomialNaiveBayes锛夈€佸钩鍧?渚濊禆鎬ц瘎浼帮紙AveragedOne-DependenceEstimators锛孉ODE锛?br/>璐濆彾鏂俊蹇电綉缁滐紙BayesianBeliefNetwork锛孊BN锛夈€佽礉鍙舵柉缃戠粶锛圔ayesianNetwork锛孊N锛夌瓑銆?br/>锛?锛夊喅绛栨爲锛圖ecisionTree锛夌被锛氬垎绫诲拰鍥炲綊鏍戯紙ClassificationandRegressionTree锛孋ART锛夈€佽凯浠ichotomiser3锛圛terativeDichotomiser3锛?ID3锛?C4.5绠楁硶锛圕4.5Algorithm锛夈€丆5.0绠楁硶锛圕5.0Algorithm锛夈€佸崱鏂硅嚜鍔ㄤ氦浜掓娴嬶紙Chi-squaredAutomaticInteractionDetection锛孋HAID锛夈€佸喅绛栨畫绔紙DecisionStump锛夈€両D3绠楁硶锛圛D3Algorithm锛夈€侀殢鏈烘.鏋楋紙RandomForest锛夈€丼LIQ锛圫upervisedLearninginQuest锛夌瓑銆?br/>锛?锛夌嚎鎬у垎绫诲櫒锛圠inearClassifier锛夌被锛欶isher鐨勭嚎鎬у垽鍒紙Fisher鈥檚LinearDiscriminant锛?br/>绾挎€у洖褰掞紙LinearRegression锛夈€侀€昏緫鍥炲綊锛圠ogisticRegression锛夈€佸椤归€昏緫鍥炲綊锛圡ultionmialLogisticRegression锛夈€佹湸绱犺礉鍙舵柉鍒嗙被鍣紙NaiveBayesClassifier锛夈€佹劅鐭ワ紙Perception锛夈€佹敮鎸佸悜閲忔満锛圫upportVectorMachine锛夌瓑銆?br/>
甯歌鐨勬棤鐩戠潱瀛︿範绫荤畻娉曞寘鎷細
锛?锛?浜哄伐绁炵粡缃戠粶锛圓rtificialNeuralNetwork锛夌被锛氱敓鎴愬鎶楃綉缁滐紙GenerativeAdversarialNetworks锛孏AN锛夛紝鍓嶉绁炵粡缃戠粶锛團eedforwardNeuralNetwork锛夈€侀€昏緫瀛︿範鏈猴紙LogicLearningMachine锛夈€佽嚜缁勭粐鏄犲皠锛圫elf-organizingMap锛夌瓑銆?br/>锛?锛?鍏宠仈瑙勫垯瀛︿範锛圓ssociationRuleLearning锛夌被锛氬厛楠岀畻娉曪紙AprioriAlgorithm锛夈€丒clat绠楁硶锛圗clatAlgorithm锛夈€丗P-Growth绠楁硶绛夈€?br/>锛?锛夊垎灞傝仛绫荤畻娉曪紙HierarchicalClustering锛夛細鍗曡繛閿佽仛绫伙紙Single-linkageClustering锛夛紝姒傚康鑱氱被锛圕onceptualClustering锛夌瓑銆?br/>锛?锛夎仛绫诲垎鏋愶紙Clusteranalysis锛夛細BIRCH绠楁硶銆丏BSCAN绠楁硶锛屾湡鏈涙渶澶у寲锛圗xpectation-maximization锛孍M锛夈€佹ā绯婅仛绫伙紙FuzzyClustering锛夈€並-means绠楁硶銆並鍧囧€艰仛绫伙紙K-meansClustering锛夈€並-medians鑱氱被銆佸潎鍊兼紓绉荤畻娉曪紙Mean-shift锛夈€丱PTICS绠楁硶绛夈€?br/>锛?锛夊紓甯告娴嬶紙Anomalydetection锛夌被锛欿鏈€閭昏繎锛圞-nearestNeighbor锛孠NN锛夌畻娉曪紝灞€閮ㄥ紓甯稿洜瀛愮畻娉曪紙LocalOutlierFactor锛孡OF锛夌瓑銆?br/>
甯歌鐨勫崐鐩戠潱瀛︿範绫荤畻娉曞寘鍚細鐢熸垚妯″瀷锛圙enerativeModels锛夈€佷綆瀵嗗害鍒嗙锛圠ow-densitySeparation锛夈€佸熀浜庡浘褰㈢殑鏂规硶锛圙raph-basedMethods锛夈€佽仈鍚堣缁冿紙Co-training锛夌瓑銆?br/>
甯歌鐨勫己鍖栧涔犵被绠楁硶鍖呭惈锛歈瀛︿範锛圦-learning锛夈€佺姸鎬?琛屽姩-濂栧姳-鐘舵€?琛屽姩锛圫tate-Action-Reward-State-Action锛孲ARSA锛夈€丏QN锛圖eepQNetwork锛夈€佺瓥鐣ユ搴︾畻娉曪紙PolicyGradients锛夈€佸熀浜庢ā鍨嬪己鍖栧涔狅紙ModelBasedRL锛夈€佹椂搴忓樊鍒嗗涔狅紙TemporalDifferentLearning锛夌瓑銆?br/>
甯歌鐨勬繁搴﹀涔犵被绠楁硶鍖呭惈锛氭繁搴︿俊蹇电綉缁滐紙DeepBeliefMachines锛夈€佹繁搴﹀嵎绉缁忕綉缁滐紙DeepConvolutionalNeuralNetworks锛夈€佹繁搴﹂€掑綊绁炵粡缃戠粶锛圖eepRecurrentNeuralNetwork锛夈€佸垎灞傛椂闂磋蹇嗭紙HierarchicalTemporalMemory锛孒TM锛夈€佹繁搴︽尝灏斿吂鏇兼満锛圖eepBoltzmannMachine锛孌BM锛夈€佹爤寮忚嚜鍔ㄧ紪鐮佸櫒锛圫tackedAutoencoder锛夈€佺敓鎴愬鎶楃綉缁滐紙GenerativeAdversarialNetworks锛夌瓑銆?br/>
浜屻€佹寜鐓цВ鍐充换鍔$殑涓嶅悓鏉ュ垎绫伙紝绮楃暐鍙互鍒嗕负浜屽垎绫荤畻娉曪紙Two-classClassification锛夈€佸鍒嗙被绠楁硶锛圡ulti-classClassification锛夈€佸洖褰掔畻娉曪紙Regression锛夈€佽仛绫荤畻娉曪紙Clustering锛夊拰寮傚父妫€娴嬶紙AnomalyDetection锛変簲绉嶃€?br/>1.浜屽垎绫伙紙Two-classClassification锛?br/>锛?锛変簩鍒嗙被鏀寔鍚戦噺鏈猴紙Two-classSVM锛夛細閫傜敤浜庢暟鎹壒寰佽緝澶氥€佺嚎鎬фā鍨嬬殑鍦烘櫙銆?br/>锛?锛変簩鍒嗙被骞冲潎鎰熺煡鍣紙Two-classAveragePerceptron锛夛細閫傜敤浜庤缁冩椂闂寸煭銆佺嚎鎬фā鍨嬬殑鍦烘櫙銆?br/>锛?锛変簩鍒嗙被閫昏緫鍥炲綊锛圱wo-classLogisticRegression锛夛細閫傜敤浜庤缁冩椂闂寸煭銆佺嚎鎬фā鍨嬬殑鍦烘櫙銆?br/>锛?锛変簩鍒嗙被璐濆彾鏂偣鏈猴紙Two-classBayesPointMachine锛夛細閫傜敤浜庤缁冩椂闂寸煭銆佺嚎鎬фā鍨嬬殑鍦烘櫙銆傦紙5锛変簩鍒嗙被鍐崇瓥妫灄锛圱wo-classDecisionForest锛夛細閫傜敤浜庤缁冩椂闂寸煭銆佺簿鍑嗙殑鍦烘櫙銆?br/>锛?锛変簩鍒嗙被鎻愬崌鍐崇瓥鏍戯紙Two-classBoostedDecisionTree锛夛細閫傜敤浜庤缁冩椂闂寸煭銆佺簿鍑嗗害楂樸€佸唴瀛樺崰鐢ㄩ噺澶х殑鍦烘櫙
锛?锛変簩鍒嗙被鍐崇瓥涓涙灄锛圱wo-classDecisionJungle锛夛細閫傜敤浜庤缁冩椂闂寸煭銆佺簿纭害楂樸€佸唴瀛樺崰鐢ㄩ噺灏忕殑鍦烘櫙銆?br/>锛?锛変簩鍒嗙被灞€閮ㄦ繁搴︽敮鎸佸悜閲忔満锛圱wo-classLocallyDeepSVM锛夛細閫傜敤浜庢暟鎹壒寰佽緝澶氱殑鍦烘櫙銆?br/>锛?锛変簩鍒嗙被绁炵粡缃戠粶锛圱wo-classNeuralNetwork锛夛細閫傜敤浜庣簿鍑嗗害楂樸€佽缁冩椂闂磋緝闀跨殑鍦烘櫙銆?br/>
瑙e喅澶氬垎绫婚棶棰橀€氬父閫傜敤涓夌瑙e喅鏂规锛氱涓€绉嶏紝浠庢暟鎹泦鍜岄€傜敤鏂规硶鍏ユ墜锛屽埄鐢ㄤ簩鍒嗙被鍣ㄨВ鍐冲鍒嗙被闂锛涚浜岀锛岀洿鎺ヤ娇鐢ㄥ叿澶囧鍒嗙被鑳藉姏鐨勫鍒嗙被鍣紱绗笁绉嶏紝灏嗕簩鍒嗙被鍣ㄦ敼杩涙垚涓哄鍒嗙被鍣ㄤ粖鍎胯В鍐冲鍒嗙被闂銆?br/>甯哥敤鐨勭畻娉曪細
锛?锛夊鍒嗙被閫昏緫鍥炲綊锛圡ulticlassLogisticRegression锛夛細閫傜敤璁粌鏃堕棿鐭€佺嚎鎬фā鍨嬬殑鍦烘櫙銆?br/>锛?锛夊鍒嗙被绁炵粡缃戠粶锛圡ulticlassNeuralNetwork锛夛細閫傜敤浜庣簿鍑嗗害楂樸€佽缁冩椂闂磋緝闀跨殑鍦烘櫙銆?br/>锛?锛夊鍒嗙被鍐崇瓥妫灄锛圡ulticlassDecisionForest锛夛細閫傜敤浜庣簿鍑嗗害楂橈紝璁粌鏃堕棿鐭殑鍦烘櫙銆?br/>锛?锛夊鍒嗙被鍐崇瓥涓涙灄锛圡ulticlassDecisionJungle锛夛細閫傜敤浜庣簿鍑嗗害楂橈紝鍐呭瓨鍗犵敤杈冨皬鐨勫満鏅€?br/>锛?锛夆€滀竴瀵瑰鈥濆鍒嗙被锛圤ne-vs-allMulticlass锛夛細鍙栧喅浜庝簩鍒嗙被鍣ㄦ晥鏋溿€?br/>
鍥炲綊
鍥炲綊闂閫氬父琚敤鏉ラ娴嬪叿浣撶殑鏁板€艰€岄潪鍒嗙被銆傞櫎浜嗚繑鍥炵殑缁撴灉涓嶅悓锛屽叾浠栨柟娉曚笌鍒嗙被闂绫讳技銆傛垜浠皢瀹氶噺杈撳嚭锛屾垨鑰呰繛缁彉閲忛娴嬬О涓哄洖褰掞紱灏嗗畾鎬ц緭鍑猴紝鎴栬€呯鏁e彉閲忛娴嬬О涓哄垎绫汇€傞暱宸剧殑绠楁硶鏈夛細
锛?锛夋帓搴忓洖褰掞紙OrdinalRegression锛夛細閫傜敤浜庡鏁版嵁杩涜鍒嗙被鎺掑簭鐨勫満鏅€?br/>锛?锛夋硦鏉惧洖褰掞紙PoissionRegression锛夛細閫傜敤浜庨娴嬩簨浠舵鏁扮殑鍦烘櫙銆?br/>锛?锛夊揩閫熸.鏋楀垎浣嶆暟鍥炲綊锛團astForestQuantileRegression锛夛細閫傜敤浜庨娴嬪垎甯冪殑鍦烘櫙銆?br/>锛?锛夌嚎鎬у洖褰掞紙LinearRegression锛夛細閫傜敤浜庤缁冩椂闂寸煭銆佺嚎鎬фā鍨嬬殑鍦烘櫙銆?br/>锛?锛夎礉鍙舵柉绾挎€у洖褰掞紙BayesianLinearRegression锛夛細閫傜敤浜庣嚎鎬фā鍨嬶紝璁粌鏁版嵁閲忚緝灏戠殑鍦烘櫙銆?br/>锛?锛夌缁忕綉缁滃洖褰掞紙NeuralNetworkRegression锛夛細閫傜敤浜庣簿鍑嗗害楂樸€佽缁冩椂闂磋緝闀跨殑鍦烘櫙銆?br/>锛?锛夊喅绛栨.鏋楀洖褰掞紙DecisionForestRegression锛夛細閫傜敤浜庣簿鍑嗗害楂樸€佽缁冩椂闂寸煭鐨勫満鏅€?br/>锛?锛夋彁鍗囧喅绛栨爲鍥炲綊锛圔oostedDecisionTreeRegression锛夛細閫傜敤浜庣簿纭害楂樸€佽缁冩椂闂寸煭銆佸唴瀛樺崰鐢ㄨ緝澶х殑鍦烘櫙銆?br/>
鑱氱被
鑱氱被鐨勭洰鏍囨槸鍙戠幇鏁版嵁鐨勬綔鍦ㄨ寰嬪拰缁撴瀯銆傝仛绫婚€氬父琚敤鍋氭弿杩板拰琛¢噺涓嶅悓鏁版嵁婧愰棿鐨勭浉浼兼€э紝骞舵妸鏁版嵁婧愬垎绫诲埌涓嶅悓鐨勭皣涓€?br/>锛?锛夊眰娆¤仛绫伙紙HierarchicalClustering锛夛細閫傜敤浜庤缁冩椂闂寸煭銆佸ぇ鏁版嵁閲忕殑鍦烘櫙銆?br/>锛?锛塊-means绠楁硶锛氶€傜敤浜庣簿鍑嗗害楂樸€佽缁冩椂闂寸煭鐨勫満鏅€?br/>锛?锛夋ā绯婅仛绫籉CM绠楁硶锛團uzzyC-means锛孎CM锛夛細閫傜敤浜庣簿纭害楂樸€佽缁冩椂闂寸煭鐨勫満鏅€?br/>锛?锛塖OM绁炵粡缃戠粶锛圫elf-organizingFeatureMap锛孲OM锛夛細閫傜敤浜庤繍琛屾椂闂磋緝闀跨殑鍦烘櫙銆?br/>寮傚父妫€娴?br/>寮傚父妫€娴嬫槸鎸囧鏁版嵁涓瓨鍦ㄧ殑涓嶆甯告垨闈炲吀鍨嬬殑鍒嗕綋杩涜妫€娴嬪拰鏍囧織锛屾湁鏃朵篃绉颁负鍋忓樊妫€娴嬨€?br/>寮傚父妫€娴嬬湅璧锋潵鍜岀洃鐫e涔犻棶棰橀潪甯哥浉浼硷紝閮芥槸鍒嗙被闂銆傞兘鏄鏍锋湰鐨勬爣绛捐繘琛岄娴嬪拰鍒ゆ柇锛屼絾鏄疄闄呬笂涓よ€呯殑鍖哄埆闈炲父澶э紝鍥犱负寮傚父妫€娴嬩腑鐨勬鏍锋湰锛堝紓甯哥偣锛夐潪甯稿皬銆傚父鐢ㄧ殑绠楁硶鏈夛細
锛?锛変竴鍒嗙被鏀寔鍚戦噺鏈猴紙One-classSVM锛夛細閫傜敤浜庢暟鎹壒寰佽緝澶氱殑鍦烘櫙銆?br/>锛?锛夊熀浜嶱CA鐨勫紓甯告娴嬶紙PCA-basedAnomalyDetection锛夛細閫傜敤浜庤缁冩椂闂寸煭鐨勫満鏅€?br/>
甯歌鐨勮縼绉诲涔犵被绠楁硶鍖呭惈锛氬綊绾冲紡杩佺Щ瀛︿範锛圛nductiveTransferLearning锛?銆佺洿鎺ㄥ紡杩佺Щ瀛︿範锛圱ransductiveTransferLearning锛夈€佹棤鐩戠潱寮忚縼绉诲涔狅紙UnsupervisedTransferLearning锛夈€佷紶閫掑紡杩佺Щ瀛︿範锛圱ransitiveTransferLearning锛夌瓑銆?br/>
绠楁硶鐨勯€傜敤鍦烘櫙锛?br/>闇€瑕佽€冭檻鐨勫洜绱犳湁锛?br/>锛?锛夋暟鎹噺鐨勫ぇ灏忋€佹暟鎹川閲忓拰鏁版嵁鏈韩鐨勭壒鐐?br/>锛?锛夋満鍣ㄥ涔犺瑙e喅鐨勫叿浣撲笟鍔″満鏅腑闂鐨勬湰璐ㄦ槸浠€涔堬紵
锛?锛夊彲浠ユ帴鍙楃殑璁$畻鏃堕棿鏄粈涔堬紵
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鍘熸枃閾炬帴锛?https://blog.csdn.net/nfzhlk/article/details/82725769
如何自学人工智能
瀛︿範AI鐨勫ぇ鑷存楠わ細
锛?锛変簡瑙d汉宸ユ櫤鑳界殑涓€浜涜儗鏅煡璇嗭紱
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瀛︿範杩囧嚑鍛ㄧ殑娣卞害瀛︿範涔嬪悗锛屽氨鍙互鍔ㄦ墜灏濊瘯鍘诲仛涓€浜汚I搴旂敤浜嗭紝姣斿鍥惧儚璇嗗埆锛岄鏍艰縼绉伙紝鏂囨湰璇楄瘝鐢熸垚绛夌瓑銆傝竟瀹炶返杈瑰涔犳晥鏋滀細濂藉緢澶氾紝涔熶細閫愭笎鐨勫姞娣卞绁炵粡缃戠粶鐨勭悊瑙c€?
什么是人工智能
姝ょ被杈冧负涓撲笟鐨勯鐩紝寤鸿鍦–SDN鎶€鏈笓鍖烘壘涓嬬浉鍏崇殑淇℃伅锛屼竴鑸幓閲岄潰鎵剧殑璇濋兘鍙互鎵惧埌姣旇緝婊℃剰鐨勭瓟妗堛€?/p>
鎵╁睍璧勬枡锛氫汉锛屽彲浠ヤ粠鐢熺墿銆佺簿绁炰笌鏂囧寲绛夊悇涓眰闈㈡潵瀹氫箟锛屾垨鏄繖浜涘眰闈㈠畾涔夌殑缁撳悎銆傜敓鐗╁涓婏紝浜鸿鍒嗙被涓轰汉绉戜汉灞炰汉绉嶏紝2鍙锋煋鑹蹭綋鍜岀尒鐚╃敳鏉℃煋鑹蹭綋鐫€涓濈矑铻嶅悎锛堝钩琛℃槗浣嶏級缂斿悎妯″紡鎺ヨ繎搴﹁秴杩?6N锛屽苟鑷傞棿澶氭鍊掍綅锛屽叾浣欐煋鑹蹭綋閮芥湁寰堝己鐨勫悓婧愭€э紝鏄竴绉嶉珮绾у姩鐗┿€傜簿绁炲眰闈笂锛屼汉琚弿杩颁负鑳藉浣跨敤鍚勭鐏甸瓊鐨勬蹇碉紝鍦ㄥ畻鏁欎腑杩欎簺鐏甸瓊琚涓轰笌绁炲湥鐨勫姏閲忔垨瀛樺湪鏈夊叧銆傛枃鍖栦汉绫诲涓婏紝浜鸿瀹氫箟涓鸿兘澶熶娇鐢ㄨ瑷€銆佸叿鏈夊鏉傜殑绀句細缁勭粐涓庣鎶€鍙戝睍鐨勭敓鐗┿€?/p>
csdn的人工智能不见了
CSDN鏇炬帹鍑轰簡涓€娆句汉宸ユ櫤鑳藉姪鎵嬶紝鍙互涓虹敤鎴锋彁渚涙妧鏈棶棰樼殑瑙g瓟鍜屽缓璁€傜劧鑰岋紝杩戞湡璇ュ姪鎵嬩笉瑙佷簡銆傛嵁鎮夛紝璇ヤ汉宸ユ櫤鑳藉姪鎵嬮噰鐢ㄤ簡鍩轰簬璇箟鐨勮嚜鐒惰瑷€澶勭悊鎶€鏈紝鍙互璇嗗埆鐢ㄦ埛鎻愰棶鐨勬剰鍥撅紝骞剁粰鍑虹浉搴旂殑绛旀鍜屽缓璁€傚敖绠¤鍔╂墜鏈変竴瀹氬眬闄愭€э紝浣嗗浜庢妧鏈鍩熺殑鐢ㄦ埛鏉ヨ锛屽叾纭疄鑳藉鎻愪緵涓嶅皯渚垮埄銆傜洰鍓嶄笉娓呮璇ュ姪鎵嬩负浣曟秷澶憋紝浣嗙浉淇SDN浼氬敖蹇В鍐宠繖涓€闂锛屽苟涓虹敤鎴锋彁渚涙洿濂界殑鏈嶅姟銆?
csdn上的chatgpt是正版的吗
Chatify不是正版的gtp。原因是,gtp是由Google官方推出的机器翻译系统,而Chatify是由第三方开发的在线翻译工具,虽然它们的操作界面和功能接近,但Chatify并没有获得Google的授权或认证。因此,使用Chatify进行翻译时需要谨慎判断其准确性和可靠性。为了确保翻译结果的准确性,建议尽量使用正版机器翻译系统,或者搭配人工校对
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