Category:Machine learning
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English: Machine learning is a branch of statistics and computer science, which studies algorithms and architectures that learn from observed facts.
scientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions | |||||
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Падкатэгорыі
Гэтая катэгорыя зьмяшчае наступную 31 падкатэгорыю з 31 агулам.
A
- Automated pattern recognition (22 Ф)
C
- Case-based reasoning (5 Ф)
- Computational creativity (4 Ф)
- Cross-validation (statistics) (16 Ф)
D
- Data spirals (6 Ф)
E
G
I
- Inductive logic programming (4 Ф)
K
M
- Markov models (19 Ф)
N
- Neural-Style (16 Ф)
O
- Overfitting (10 Ф)
P
R
- Reinforcement learning (19 Ф)
S
- Support vector machine (23 Ф)
T
U
- Underfitting (2 Ф)
V
- Vowpal Wabbit (2 Ф)
Старонкі ў катэгорыі «Machine learning»
Гэтая катэгорыя ўтрымлівае толькі адну старонку.
Файлы ў катэгорыі «Machine learning»
Паказаныя 200 файлаў гэтай катэгорыі з 446.
(папярэдняя старонка) (наступная старонка)- De-maschinelles Lernen.ogg 2,1 с; 20 кб
- 1D Convolution.png 321 × 310; 11 кб
- 1D Convolutional Neural Network feed forward example.png 661 × 301; 31 кб
- 20210622 212327 mfnr.jpg 1968 × 4160; 2 Мб
- 2D data training SOM.gif 635 × 801; 1,39 Мб
- 2d-epochs-overfitting.svg 900 × 739; 86 кб
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- 50 mnist epochs.gif 288 × 288; 1,41 Мб
- 815-tfdne-ai-generated.png 512 × 512; 423 кб
- A cyborg version of Oliver Wendell Holmes 2.png 1024 × 1536; 2,72 Мб
- A hybrid deep learning approach for medical relation extraction.pdf 1275 × 1650, 4 старонкі; 570 кб
- A mechanical dove 8274822e-52fe-40fa-ac4d-f3cde5a332ae.png 2048 × 2048; 4,86 Мб
- A simple Decision Tree.png 828 × 828; 76 кб
- Accure Momentum Cluster.png 692 × 342; 45 кб
- ActivationFunctions.svg 1058 × 606; 293 кб
- Adjacent sampling method for training and testing dataset.png 1672 × 1418; 3,2 Мб
- AdvFig2.jpg 406 × 104; 15 кб
- AI End-Scenario Six Avenues for AI takeover tamingtheaibeast.png 3285 × 2131; 547 кб
- AI hierarchy pl.svg 399 × 399; 4 кб
- AI hierarchy.svg 399 × 399; 4 кб
- AI Types. Tipos Inteligencia Artificial.svg 953 × 899; 22 кб
- Alpha Coach Logo.png 2779 × 867; 47 кб
- Alternate Loss Functions for training ANNs.png 1043 × 795; 68 кб
- An cyborg version of Hunter S. Thompson 7.jpg 1024 × 1024; 265 кб
- An cyborg version of Hunter S. Thompson 9.jpg 1024 × 1024; 226 кб
- Analogical modeling pointer network.svg 310 × 300; 29 кб
- Andrews curve for Iris data set.png 1150 × 742; 334 кб
- ANPR (AUTOMETIC NUMBER PLATE RECOGNITION) SOFTWARE.gif 480 × 480; 197 кб
- Apache SystemML logo.svg 512 × 160; 921 байтаў
- Aprendizado por Reforço.png 1000 × 1000; 94 кб
- Aprendizagem não supervisionada.png 1613 × 2100; 210 кб
- Aprenentatge automàtic.jpg 920 × 682; 40 кб
- APS ML screen shot.jpg 1010 × 1046; 210 кб
- Artificial grammar learning example.jpg 462 × 252; 28 кб
- Artificial Neural Network with Chip.jpg 2000 × 1600; 2,59 Мб
- Artificial Neural Network with Chip.png 1257 × 943; 1,9 Мб
- Attention-1-sn.png 672 × 464; 14 кб
- Attention-animated.gif 1500 × 1125; 928 кб
- Attention-animated.webm 1 хв 15 с, 1920 × 1080; 596 кб
- ATW CNN architecture.png 3360 × 5019; 807 кб
- Augmentation Content Curation DRAFT.pdf 1275 × 1650, 7 старонак; 261 кб
- Augmentation Content Generation DRAFT.pdf 1275 × 1650, 6 старонак; 260 кб
- Augmentation Governance DRAFT.pdf 1275 × 1650, 5 старонак; 284 кб
- Augmentation Machine Translation DRAFT.pdf 1275 × 1650, 8 старонак; 1,25 Мб
- Augmentor.png 330 × 182; 25 кб
- Autoai-process.jpg 1187 × 445; 73 кб
- AutoAI-process.png 1466 × 582; 393 кб
- Autoencoder structure uk.png 677 × 506; 39 кб
- Autoencoder structure.png 677 × 506; 48 кб
- Autoencoder-bottleneck-layer.png 1082 × 473; 72 кб
- Base de dados de flores de íris.svg 512 × 486; 208 кб
- Bayessches Netz.png 607 × 250; 4 кб
- Beyond Human Journey Towards A.I World Book By Deepak Dinesh Kapadnis.jpg 1242 × 1755; 317 кб
- BPM input space wiki.pdf 1239 × 1752; 381 кб
- BPM MLP wiki.pdf 1239 × 1752; 383 кб
- C.EstelleSmith ResearchShowcase 5 20 20.pdf 1500 × 1125, 50 старонак; 2,23 Мб
- Calibration plot.png 1000 × 1000; 109 кб
- Captioned image dataset examples.jpg 1770 × 2209; 1017 кб
- CB pdf.png 858 × 683; 101 кб
- CbrCycle basic de.png 1200 × 986; 28 кб
- Cires.jpg 400 × 492; 100 кб
- Climate data analysis using tSNE method.png 814 × 805; 94 кб
- CollieBrownArghonCEO.jpg 965 × 1241; 307 кб
- Compactness Comparison of Linear and Multilinear Projections.png 791 × 614; 65 кб
- Concept lattice.svg 693 × 513; 70 кб
- Concept of instant learning ratio in Machine Learning.png 719 × 336; 40 кб
- Concept of machine learning.png 1884 × 1108; 121 кб
- Concept of traditional computer applications.png 1884 × 1108; 123 кб
- Confusion matrix.png 1557 × 805; 82 кб
- Contexts venn diagramm for analogical modeling.svg 600 × 582; 10 кб
- Contraintes dans l'espace.png 298 × 236; 15 кб
- Conv layers uk.png 567 × 310; 42 кб
- Convolutional-neural-network-polyanalyst-flowchart-example.png 561 × 190; 20 кб
- Convolutional-neural-network-polyanalyst-flowchart-example.svg 891 × 357; 280 кб
- ConvolutionAndPooling.svg 839 × 208; 160 кб
- CorteX Carte Predpol.jpg 446 × 196; 93 кб
- CRAIYON-Generated Robot.png 252 × 252; 74 кб
- CRAIYON-REALESRGAN-A book made out of fire.jpg 1024 × 1024; 197 кб
- CRAIYON-REALESRGAN-A book wrapped in chains.jpg 1024 × 1024; 212 кб
- CRAIYON-REALESRGAN-A camera on a tripod in a library, surrounded by papers.jpg 1024 × 1024; 210 кб
- CRAIYON-REALESRGAN-A New Yorker cartoon of a chicken crossing a road.jpg 1024 × 1024; 205 кб
- CRAIYON-REALESRGAN-Byzantine mosaic of a UFO.jpg 256 × 256; 39 кб
- CRAIYON-REALESRGAN-Citation bot cleaning up 1 upscale.jpg 1024 × 1024; 263 кб
- CRAIYON-REALESRGAN-Collage-newsandnotes.jpg 3072 × 3072; 2,4 Мб
- CRAIYON-REALESRGAN-Dalmatian bench.jpg 1024 × 1024; 293 кб
- CRAIYON-REALESRGAN-Editing Wikipedia.jpg 1024 × 1024; 164 кб
- CRAIYON-REALESRGAN-Facebook robot checks facts.jpg 1024 × 1024; 174 кб
- CRAIYON-REALESRGAN-Golden gate bridge.jpg 1024 × 1024; 243 кб
- CRAIYON-REALESRGAN-Gorilla with rifle and army helmet.jpg 1024 × 1024; 244 кб
- CRAIYON-REALESRGAN-Killer using a laptop.jpg 1024 × 1024; 290 кб
- CRAIYON-REALESRGAN-Los Angeles skyline with British royal crown on it.jpg 1024 × 1024; 207 кб
- CRAIYON-REALESRGAN-Medieval tapestry of Wikipedia logo.jpg 1024 × 1024; 406 кб
- CRAIYON-REALESRGAN-pathetic-supervillain.jpg 1024 × 1024; 195 кб
- CRAIYON-REALESRGAN-People arguing over the definition of a recession.jpg 1024 × 1024; 141 кб
- CRAIYON-REALESRGAN-pig wearing crown and red robe.jpg 1024 × 1024; 227 кб
- CRAIYON-REALESRGAN-Six candidates standing on a compass.png 1024 × 1024; 815 кб
- CRAIYON-REALESRGAN-Ukrainian flag waving above a field.jpg 1024 × 1024; 299 кб
- CRAIYON-REALESRGAN-Wikipedia as a social network graph.jpg 1024 × 1024; 237 кб
- CRAIYON-REALESRGAN-Wikipedia research.jpg 1024 × 1024; 209 кб
- CRAIYON-Receding hairline.jpg 256 × 256; 14 кб
- Cubism 2022 Machine Learning Trio.png 1104 × 1087; 1,96 Мб
- Cubism 2022 Machine Learning.png 1471 × 1462; 3,99 Мб
- Cubism 2022 Machine-Learning by Soriano.png 804 × 804; 820 кб
- Data Augmentation of rock images revised.jpg 1280 × 1440; 472 кб
- Data Augmentation of rock images.jpg 1522 × 1128; 288 кб
- DatasetSample.png 1586 × 1066; 2,2 Мб
- David Weinberger with blue checks - 2019.png 2793 × 2845; 11,34 Мб
- Dean Weber.png 957 × 931; 1,76 Мб
- Decaying Sine Unit (DSU).png 3000 × 2000; 420 кб
- DeepInsight method to transform non-image data to 2D image for convolutional neural network architecture.pdf 1239 × 1629, 7 старонак; 1,78 Мб
- DeepLearningReconstruction.png 2502 × 600; 617 кб
- Denoising-autoencoder.png 1743 × 840; 121 кб
- DenseCap (Johnson et al., 2016) (cropped).png 702 × 495; 489 кб
- DenseCap (Johnson et al., 2016).png 1500 × 495; 1,02 Мб
- Diagram of the mountain car problem.png 435 × 169; 3 кб
- Discussionreport-collage2 (cropped).png 500 × 500; 485 кб
- Discussionreport-collage2.png 768 × 512; 701 кб
- DoitasunaEstaldura.svg 440 × 800; 40 кб
- Dragonfly-Trainable-segmentation-workspace.png 1904 × 955; 316 кб
- Duplication attributs.png 562 × 188; 5 кб
- EBM small.gif 1080 × 1080; 12,79 Мб
- Edge approximation.svg 400 × 450; 7 кб
- EfficientNetB3V2.jpg 720 × 720; 66 кб
- EfficientNetB4.jpg 720 × 720; 65 кб
- EfficientNetB7.jpg 720 × 720; 65 кб
- Employee Attrition Prediction.pdf 1275 × 1650, 3 старонкі; 619 кб
- En low bias low variance.png 625 × 568; 7 кб
- EncoderDecoder.pdf 1275 × 458; 9 кб
- Entropy illustration.png 1643 × 1642; 130 кб
- Entropy-illustration.png 1630 × 923; 123 кб
- Enwiki editquality data revision contributions by month.png 411 × 305; 11 кб
- Enwiki editquality years since account creation histogram.png 396 × 278; 9 кб
- Esquema 1.svg 512 × 298; 64 кб
- Esquema 2.svg 512 × 198; 27 кб
- Esquema aprendizaje.jpg 920 × 682; 34 кб
- Esquema castellà.jpg 929 × 707; 86 кб
- EsquemaAA.jpg 920 × 682; 42 кб
- Esssssa1.png 708 × 223; 42 кб
- Example for Adjusted Rand index.svg 900 × 360; 467 кб
- Fantasy Art Machine Learning The Partnership.png 1466 × 1469; 3,68 Мб
- Fantasy Art Machone learning Mind Control.png 1280 × 1280; 2,21 Мб
- Faraday's Gift electronic Life electronic Intelligence.png 512 × 512; 647 кб
- Feature Learning Diagram.png 1000 × 333; 32 кб
- Feature selection Embedded Method.png 1279 × 379; 46 кб
- Feature selection Wrapper Method.png 1220 × 342; 41 кб
- FeatureSelectionToolbox1 screenshot.png 1025 × 740; 46 кб
- Federated learning (centralized vs decentralized).png 2504 × 1266; 232 кб
- Federated learning (horizontal vs. vertical.png 1866 × 1404; 233 кб
- Federated learning process central case.png 906 × 435; 73 кб
- Filter Methode uk.png 940 × 107; 8 кб
- Filter Methode.png 932 × 92; 30 кб
- Flores de Íris.png 1945 × 977; 2,04 Мб
- Flowchart of the spatio-temporal action localization detector Segment-tube.png 3934 × 3280; 1,93 Мб
- FreqGenSchema.png 1408 × 829; 28 кб
- FullSLAM.png 600 × 396; 15 кб
- Futurism 2022 Machine Learning by David S. Soriano.png 1024 × 1024; 2,38 Мб
- Gaussian process draws from prior distribution.png 1200 × 400; 112 кб
- Gaussian Process Regression.png 1200 × 400; 98 кб
- Gaussian training data.png 512 × 512; 28 кб
- GaussianScatterPCA.svg 720 × 720; 515 кб
- Gcp docai platform.1000064920000870.max-2000x2000 (2).png 2000 × 870; 204 кб
- Glue Ontologie Beispiel.png 400 × 106; 19 кб
- Glue-Architektur.png 297 × 509; 28 кб
- GMilovanovic eRum2018.pdf 1654 × 1239, 14 старонак; 1,02 Мб
- GNN building blocks.png 7810 × 2010; 740 кб
- GNN representational limits.png 3430 × 3510; 502 кб
- Google cloud partner .jpg 860 × 680; 21 кб
- Gradient descent with momentum.svg 512 × 549; 316 кб
- Growing Cosine Unit (GCU) activation function.png 3000 × 2186; 273 кб
- Hazardconf.png 261 × 163; 167 кб
- HDLTex.jpg 2277 × 905; 567 кб
- Hinge loss variants.svg 720 × 540; 21 кб
- Hinge loss vs zero one loss.svg 720 × 540; 15 кб
- Hyperparameter Optimization using Grid Search.svg 540 × 360; 72 кб
- Hyperparameter Optimization using Random Search.svg 540 × 360; 74 кб
- Idistance.jpg 601 × 351; 26 кб
- Illustration of imperceptible adversarial pertubation.png 680 × 262; 190 кб
- Image Content filtration - Outreachy.pdf 2000 × 1125, 32 старонкі; 931 кб
- Info Gain Root Split Example.png 281 × 351; 15 кб
- Info Gain Splitting the Child Node(s) Example.png 361 × 511; 23 кб
- Instant Learning Ratio - Machine Learning Idea.png 671 × 388; 31 кб
- Integrated-stacking.png 8192 × 3807; 1,11 Мб
- Intersection over Union - object detection bounding boxes.jpg 600 × 450; 92 кб
- Intersection over Union - poor, good and excellent score.png 600 × 248; 8 кб
- Intersection over Union - visual equation.png 600 × 468; 11 кб
- Iris Flowers Clustering kMeans de.svg 660 × 309; 145 кб
- Iris Flowers Clustering kMeans ru.svg 660 × 309; 50 кб
- Iris Flowers Clustering kMeans.svg 660 × 309; 145 кб
- Isat.gif 360 × 252; 1,08 Мб
- Joseph Anthony Meneses Salguero.jpg 640 × 800; 74 кб
- K-fold cross validation EN.svg 521 × 257; 246 кб
- K-fold cross validation UK.svg 521 × 257; 247 кб