林轩田-机器学习技法

磁力链接/BT种子名称

林轩田-机器学习技法

磁力链接/BT种子简介

种子哈希：a52e1947c0b03db81a65691fd24f890aa5c0f1fc
文件大小： 1.65G
已经下载：38次
下载速度：极快
收录时间：2021-04-26
最近下载：2025-02-19

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文件列表

  • P53 13-4 Deep Learning -- Principal Component Analysis @ Machine Learning Techniques (機器學習技法).mp4 45.4 MB
  • P50 13-1 Deep Learning -- Deep Neural Network @ Machine Learning Techniques (機器學習技法).mp4 43.7 MB
  • P10 3-1 Kernel Support Vector Machine -- Kernel Trick @ Machine Learning Techniques (機器學習技法).mp4 41.1 MB
  • P46 12-1 Neural Network -- Motivation @ Machine Learning Techniques (機器學習技法).mp4 39.6 MB
  • P26 7-1 Blending and Bagging -- Motivation of Aggregation @ Machine Learning Techniques (機器學習技法).mp4 39.3 MB
  • P34 9-1 Decision Tree -- Decision Tree Hypothesis @ Machine Learning Techniques (機器學習技法).mp4 38.6 MB
  • P43 11-2 Gradient Boosted Decision Tree -- Optimization of AdaBoost @ Machine Learning Techniques (機器學習技法).mp4 37.9 MB
  • P3 1-3 Linear SVM -- Standard Large-Margin Problem @ Machine Learning Techniques (機器學習技法).mp4 37.8 MB
  • P6 2-1 Dual Support Vector Machine -- Motivation of Dual SVM @ Machine Learning Techniques (機器學習技法).mp4 35.7 MB
  • P40 10-3 Random Forest -- Feature Selection @ Machine Learning Techniques (機器學習技法).mp4 35.2 MB
  • P62 16-1 Finale -- Feature Exploitation Techniques @ Machine Learning Techniques (機器學習技法).mp4 34.7 MB
  • P27 7-2 Blending and Bagging -- Uniform Blending @ Machine Learning Techniques (機器學習技法).mp4 34.6 MB
  • P7 2-2 Dual Support Vector Machine -- Largange Dual SVM @ Machine Learning Techniques (機器學習技法).mp4 33.5 MB
  • P49 12-4 Neural Network -- Optimization and Regularization @ Machine Learning Techniques (機器學習技法).mp4 33.0 MB
  • P23 6-2 Support Vector Regression -- Support Vector Regression Primal @ Machine Learning Techniques (機器學習技法).mp4 32.8 MB
  • P48 12-3 Neural Network -- Neural Network Learning @ Machine Learning Techniques (機器學習技法).mp4 32.3 MB
  • P22 6-1 Support Vector Regression -- Kernel Ridge Regression @ Machine Learning Techniques (機器學習技法).mp4 31.7 MB
  • P58 15-1 Matrix Factorization -- Linear Network Hypothesis @ Machine Learning Techniques (機器學習技法).mp4 31.1 MB
  • P28 7-3 Blending and Bagging -- Linear and Any Blending @ Machine Learning Techniques (機器學習技法).mp4 30.9 MB
  • P42 11-1 Gradient Boosted Decision Tree -- AdaBoost Decision Tree @ Machine Learning Techniques (機器學習技法).mp4 30.7 MB
  • P14 4-1 Soft-Margin Support Vector Machine -- Motivation and Primal @ Machine Learning Techniques (機器學習技法).mp4 30.6 MB
  • P21 5-4 Kernel Logistic Regression -- Kernel Logistic Regression @ Machine Learning Techniques (機器學習技法).mp4 30.1 MB
  • P55 14-2 Radial Basis Function Network -- RBF Network Learning @ Machine Learning Techniques (機器學習技法).mp4 30.0 MB
  • P45 11-4 Gradient Boosted Decision Tree -- Summary of Aggregation @ Machine Learning Techniques (機器學習技法).mp4 29.9 MB
  • P59 15-2 Matrix Factorization -- Basic Matrix Factorization @ Machine Learning Techniques (機器學習技法).mp4 28.1 MB
  • P51 13-2 Deep Learning --Autoencoder @ Machine Learning Techniques (機器學習技法).mp4 28.1 MB
  • P38 10-1 Random Forest -- Random Forest Algorithm @ Machine Learning Techniques (機器學習技法).mp4 27.8 MB
  • P41 10-4 Random Forest -- Random Forest in Action @ Machine Learning Techniques (機器學習技法).mp4 27.7 MB
  • P36 9-3 Decision Tree -- Decision Tree Heuristics in C&RT @ Machine Learning Techniques (機器學習技法).mp4 27.5 MB
  • P47 12-2 Neural Network -- Neural Network Hypothesis @ Machine Learning Techniques (機器學習技法).mp4 27.5 MB
  • P18 5-1 Kernel Logistic Regression -- Soft-Margin SVM as Regularized @ Machine Learning Techniques (機器學習技法).mp4 26.9 MB
  • P35 9-2 Decision Tree -- Decision Tree Algorithm @ Machine Learning Techniques (機器學習技法).mp4 26.9 MB
  • P56 14-3 Radial Basis Function Network -- k-Means Algorithm @ Machine Learning Techniques (機器學習技法).mp4 26.6 MB
  • P29 7-4 Blending and Bagging -- Bagging (Bootstrap Aggregation) @ Machine Learning Techniques (機器學習技法).mp4 25.8 MB
  • P8 2-3 Dual Support Vector Machine -- Solving Dual SVM @ Machine Learning Techniques (機器學習技法).mp4 25.7 MB
  • P9 2-4 Dual Support Vector Machine -- Messages behind Dual SVM @ Machine Learning Techniques (機器學習技法).mp4 25.6 MB
  • P44 11-3 Gradient Boosted Decision Tree -- Gradient Boosting @ Machine Learning Techniques (機器學習技法).mp4 25.4 MB
  • P65 16-4 Finale -- Machine Learning in Practice @ Machine Learning Techniques (機器學習技法).mp4 25.2 MB
  • P30 8-1 Adaptive Boosting -- Motivation of Boosting @ Machine Learning Techniques (機器學習技法).mp4 25.0 MB
  • P12 3-3 Kernel Support Vector Machine -- Gaussian Kernel @ Machine Learning Techniques (機器學習技法).mp4 24.9 MB
  • P31 8-2 Adaptive Boosting -- Diversity by Re-weighting @ Machine Learning Techniques (機器學習技法).mp4 24.9 MB
  • P2 1-2 Linear SVM -- Large-Margin Separating Hyperplane @ Machine Learning Techniques (機器學習技法).mp4 24.5 MB
  • P16 4-3 Soft-Margin Support Vector Machine -- Messages @ Machine Learning Techniques (機器學習技法).mp4 24.5 MB
  • P13 3-4 Kernel Support Vector Machine -- Comparison of Kernels @ Machine Learning Techniques (機器學習技法).mp4 24.4 MB
  • P4 1-4 Linear SVM -- Support Vector Machine @ Machine Learning Techniques (機器學習技法).mp4 23.5 MB
  • P11 3-2 Kernel Support Vector Machine -- Polynomial Kernel @ Machine Learning Techniques (機器學習技法).mp4 22.3 MB
  • P39 10-2 Random Forest -- Out-of-bag Estimate @ Machine Learning Techniques (機器學習技法).mp4 21.5 MB
  • P17 4-4 Soft-Margin Support Vector Machine -- Model Selection @ Machine Learning Techniques (機器學習技法).mp4 21.3 MB
  • P33 8-4 Adaptive Boosting -- Adaptive Boosting in Action @ Machine Learning Techniques (機器學習技法).mp4 20.8 MB
  • P24 6-3 Support Vector Regression -- Support Vector Regression Dual @ Machine Learning Techniques (機器學習技法).mp4 20.7 MB
  • P19 5-2 Kernel Logistic Regression -- SVM versus Logistic Regression @ Machine Learning Techniques (機器學習技法).mp4 20.4 MB
  • P54 14-1 Radial Basis Function Network -- RBF Network Hypothesis @ Machine Learning Techniques (機器學習技法).mp4 20.1 MB
  • P5 1-5 Linear SVM -- Reasons behind Large-Margin Hyperplane @ Machine Learning Techniques (機器學習技法).mp4 20.0 MB
  • P32 8-3 Adaptive Boosting -- Adaptive Boosting Algorithm @ Machine Learning Techniques (機器學習技法).mp4 19.7 MB
  • P60 15-3 Matrix Factorization -- Stochastic Gradient Descent @ Machine Learning Techniques (機器學習技法).mp4 19.5 MB
  • P20 5-3 Kernel Logistic Regression -- SVM for Soft Binary @ Machine Learning Techniques (機器學習技法).mp4 18.7 MB
  • P25 6-4 Support Vector Regression -- Summary of Kernel Models @ Machine Learning Techniques (機器學習技法).mp4 18.1 MB
  • P37 9-4 Decision Tree -- Decision Tree in Action @ Machine Learning Techniques (機器學習技法).mp4 18.0 MB
  • P61 15-4 Matrix Factorization -- Summary of Extraction Models @ Machine Learning Techniques (機器學習技法).mp4 16.8 MB
  • P57 14-4 Radial Basis Function Network -- k-Means and RBFNet in Action @ Machine Learning Techniques (機器學習技法).mp4 16.4 MB
  • P52 13-3 Deep Learning --Denoising Autoencoder @ Machine Learning Techniques (機器學習技法).mp4 14.9 MB
  • P63 16-2 Finale -- Error Optimization Techniques @ Machine Learning Techniques (機器學習技法).mp4 14.4 MB
  • P15 4-2 Soft-Margin Support Vector Machine -- Dual Problem @ Machine Learning Techniques (機器學習技法).mp4 11.1 MB
  • P64 16-3 Finale -- Overfitting Elimination Techniques @ Machine Learning Techniques (機器學習技法).mp4 11.0 MB
  • P1 1-1 Linear Support Vector Machine (SVM) -- Course Introduction @ Machine Learning Techniques (機器學習技法).mp4 10.6 MB
  • mltech_handout/208_handout.pdf 5.5 MB
  • mltech_handout/207_handout.pdf 4.5 MB
  • mltech_handout/211_handout.pdf 2.7 MB
  • mltech_handout/210_handout.pdf 2.6 MB
  • mltech_handout/204_handout.pdf 2.1 MB
  • mltech_handout/212_handout.pdf 1.3 MB
  • mltech_handout/201_handout.pdf 1.2 MB
  • mltech_handout/203_handout.pdf 1.2 MB
  • mltech_handout/214_handout.pdf 972.5 kB
  • mltech_handout/206_handout.pdf 770.2 kB
  • mltech_handout/209_handout.pdf 758.3 kB
  • mltech_handout/213_handout.pdf 596.8 kB
  • mltech_handout/202_handout.pdf 592.4 kB
  • mltech_handout/215_handout.pdf 586.8 kB
  • mltech_handout/205_handout.pdf 574.2 kB
  • mltech_handout/216_handout.pdf 469.5 kB

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本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！