- 【影视】 [FreeTutorials.Us] Udemy - machinelearning
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- [FreeTutorials.Us] Udemy - machinelearning 7.3 GB
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- 【影视】 Yaser-MachineLearning-CS156-Caltech
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- lectures/Lecture 13 - Validation-o7zzaKd0Lkk.mp4 213.2 MB
- lectures/Lecture 09 - The Linear Model II-qSTHZvN8hzs.mp4 212.7 MB
- lectures/Lecture 01 - The Learning Problem-mbyG85GZ0PI.mp4 204.7 MB
- lectures/Lecture 11 - Overfitting-EQWr3GGCdzw.mp4 197.4 MB
- lectures/Lecture 02 - Is Learning Feasible-MEG35RDD7RA.mp4 194.4 MB
- lectures/Lecture 05 - Training Versus Testing-SEYAnnLazMU.mp4 193.7 MB
- lectures/Lecture 15 - Kernel Methods-XUj5JbQihlU.mp4 192.1 MB
- lectures/Lecture 16 - Radial Basis Functions-O8CfrnOPtLc.mp4 191.6 MB
- lectures/Lecture 03 - The Linear Model I-FIbVs5GbBlQ.mp4 181.4 MB
- lectures/Lecture 10 - Neural Networks-Ih5Mr93E-2c.mp4 181.3 MB
- lectures/Lecture 18 - Epilogue-ihLwJPHkMRY.mp4 180.9 MB
- lectures/Lecture 08 - Bias-Variance Tradeoff-zrEyxfl2-a8.mp4 180.3 MB
- lectures/Lecture 06 - Theory of Generalization-6FWRijsmLtE.mp4 179.9 MB
- lectures/Lecture 14 - Support Vector Machines-eHsErlPJWUU.mp4 177.1 MB
- lectures/Lecture 12 - Regularization-I-VfYXzC5ro.mp4 175.4 MB
- lectures/Lecture 17 - Three Learning Principles-EZBUDG12Nr0.mp4 170.1 MB
- lectures/Lecture 07 - The VC Dimension-Dc0sr0kdBVI.mp4 168.7 MB
- lectures/Lecture 04 - Error and Noise-L_0efNkdGMc.mp4 150.7 MB
- slides/slides03.pdf 1.1 MB
- slides/slides04.pdf 1.0 MB
- 猜你喜欢: Yaser CS156 Caltech MachineLearning
- 【影视】 [FreeTutorials.Us] Udemy - machinelearning
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- 36 Kernel PCA/264 Kernel PCA in R.mp4 59.3 MB
- 12 Logistic Regression/089 Logistic Regression in R - Step 5.mp4 54.2 MB
- 35 Linear Discriminant Analysis (LDA)/261 LDA in R.mp4 53.8 MB
- 17 Decision Tree Classification/116 Decision Tree Classification in R.mp4 53.7 MB
- 18 Random Forest Classification/120 Random Forest Classification in R.mp4 51.8 MB
- 31 Artificial Neural Networks/217 ANN in Python - Step 2.mp4 50.4 MB
- 39 XGBoost/275 XGBoost in R.mp4 49.6 MB
- 27 Upper Confidence Bound (UCB)/171 Upper Confidence Bound in R - Step 3.mp4 49.5 MB
- 18 Random Forest Classification/119 Random Forest Classification in Python.mp4 49.4 MB
- 32 Convolutional Neural Networks/248 CNN in Python - Step 9.mp4 49.1 MB
- 07 Support Vector Regression (SVR)/061 SVR in Python.mp4 48.4 MB
- 35 Linear Discriminant Analysis (LDA)/260 LDA in Python.mp4 47.6 MB
- 08 Decision Tree Regression/066 Decision Tree Regression in R.mp4 46.5 MB
- 16 Naive Bayes/106 Bayes Theorem.mp4 46.0 MB
- 24 Apriori/154 Apriori in R - Step 3.mp4 46.0 MB
- 38 Model Selection/268 k-Fold Cross Validation in R.mp4 45.8 MB
- 06 Polynomial Regression/057 Polynomial Regression in R - Step 3.mp4 45.4 MB
- 28 Thompson Sampling/176 Thompson Sampling in Python - Step 1.mp4 45.2 MB
- 06 Polynomial Regression/052 Polynomial Regression in Python - Step 3.mp4 45.1 MB
- 24 Apriori/152 Apriori in R - Step 1.mp4 45.0 MB
- 猜你喜欢: machinelearning Us FreeTutorials Udemy
- 【影视】 AndrewNg-MachineLearning-CS229-Stanford
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- Lecture 19 _ Machine Learning (Stanford)-UFH5ibWnA7g.mp4 301.4 MB
- Lecture 11 _ Machine Learning (Stanford)-sQ8T9b-uGVE.mp4 227.1 MB
- Lecture 14 _ Machine Learning (Stanford)-ey2PE5xi9-A.mp4 219.8 MB
- Lecture 20 _ Machine Learning (Stanford)-yCqPMD6coO8.mp4 212.0 MB
- Lecture 15 _ Machine Learning (Stanford)-QGd06MTRMHs.mp4 211.7 MB
- Lecture 17 _ Machine Learning (Stanford)-LKdFTsM3hl4.mp4 211.6 MB
- Lecture 18 _ Machine Learning (Stanford)--ff6l5D8-j8.mp4 211.2 MB
- Lecture 8 _ Machine Learning (Stanford)-bUv9bfMPMb4.mp4 211.1 MB
- Lecture 2 _ Machine Learning (Stanford)-5u4G23_OohI.mp4 206.4 MB
- Lecture 7 _ Machine Learning (Stanford)-s8B4A5ubw6c.mp4 206.2 MB
- Lecture 5 _ Machine Learning (Stanford)-qRJ3GKMOFrE.mp4 206.1 MB
- Lecture 13 _ Machine Learning (Stanford)-LBtuYU-HfUg.mp4 204.8 MB
- Lecture 9 _ Machine Learning (Stanford)-tojaGtMPo5U.mp4 202.4 MB
- Lecture 12 _ Machine Learning (Stanford)-ZZGTuAkF-Hw.mp4 201.6 MB
- Lecture 16 _ Machine Learning (Stanford)-RtxI449ZjSc.mp4 201.2 MB
- Lecture 3 _ Machine Learning (Stanford)-HZ4cvaztQEs.mp4 200.5 MB
- Lecture 6 _ Machine Learning (Stanford)-qyyJKd-zXRE.mp4 200.5 MB
- Lecture 10 _ Machine Learning (Stanford)-0kWZoyNRxTY.mp4 199.6 MB
- Lecture 4 _ Machine Learning (Stanford)-nLKOQfKLUks.mp4 199.6 MB
- Lecture 1 _ Machine Learning (Stanford)-UzxYlbK2c7E.mp4 176.6 MB
- 猜你喜欢: AndrewNg CS229 MachineLearning Stanford
- 【影视】 [FreeTutorials.Us] machinelearning
- 收录时间:2020-04-02 文档个数:286 文档大小:7.2 GB 最近下载:2024-07-01 人气:456 磁力链接
- 12 Logistic Regression/088 Logistic Regression in R - Step 5.mp4 98.3 MB
- 31 Artificial Neural Networks/216 ANN in Python - Step 2.mp4 89.0 MB
- 17 Decision Tree Classification/115 Decision Tree Classification in R.mp4 71.5 MB
- 14 Support Vector Machine SVM/097 SVM in R.mp4 68.5 MB
- 18 Random Forest Classification/119 Random Forest Classification in R.mp4 67.2 MB
- 32 Convolutional Neural Networks/247 CNN in Python - Step 9.mp4 65.4 MB
- 18 Random Forest Classification/118 Random Forest Classification in Python.mp4 65.1 MB
- 07 Support Vector Regression SVR/060 SVR in Python.mp4 63.1 MB
- 05 Multiple Linear Regression/040 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4 62.0 MB
- 27 Upper Confidence Bound UCB/170 Upper Confidence Bound in R - Step 3.mp4 60.6 MB
- 36 Kernel PCA/263 Kernel PCA in R.mp4 59.3 MB
- 24 Apriori/153 Apriori in R - Step 3.mp4 59.3 MB
- 08 Decision Tree Regression/065 Decision Tree Regression in R.mp4 59.0 MB
- 13 K-Nearest Neighbors K-NN/093 K-NN in R.mp4 58.5 MB
- 28 Thompson Sampling/175 Thompson Sampling in Python - Step 1.mp4 58.2 MB
- 15 Kernel SVM/103 Kernel SVM in Python.mp4 57.5 MB
- 06 Polynomial Regression/056 Polynomial Regression in R - Step 3.mp4 57.5 MB
- 05 Multiple Linear Regression/039 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4 57.2 MB
- 06 Polynomial Regression/051 Polynomial Regression in Python - Step 3.mp4 57.1 MB
- 05 Multiple Linear Regression/041 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 56.9 MB
- 猜你喜欢: machinelearning Us FreeTutorials
- 【文档书籍】 machinelearning
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- machinelearning 542.1 MB
- 猜你喜欢: machinelearning
- 【影视】 Build RealWorld MachineLearning Projects With Python In 2023
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- [TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/1. Project-1 UK_Road_Accident_Timeseries_Forecasting/1. UK_Road_Accident_Timeseries_Forecasting_EDA.mp4 354.2 MB
- [TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/1. Project-1 UK_Road_Accident_Timeseries_Forecasting/2. Forecast UK Accident rates based on Number of Casualties on SARIMA,FbP,LSTM's.mp4 324.2 MB
- [TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/3. Model Refinement - Optimize NB,SVM,LR with Feature Weight.mp4 192.1 MB
- [TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/1. Toxic_Comments_Classification_EDA.mp4 189.7 MB
- [TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/2. NLP - Tokenized Sequences for Visualization.mp4 63.9 MB
- .pad/1 309.0 kB
- .pad/2 281.2 kB
- .pad/0 102.5 kB
- .pad/3 96.5 kB
- [TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/1. Project-1 UK_Road_Accident_Timeseries_Forecasting/1. UK_Road_Accident_Timeseries_Forecasting_EDA.srt 45.4 kB
- [TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/1. Project-1 UK_Road_Accident_Timeseries_Forecasting/2. Forecast UK Accident rates based on Number of Casualties on SARIMA,FbP,LSTM's.srt 42.0 kB
- [TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/1. Toxic_Comments_Classification_EDA.srt 25.0 kB
- [TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/3. Model Refinement - Optimize NB,SVM,LR with Feature Weight.srt 22.9 kB
- [TutsNode.net] - Build RealWorld MachineLearning Projects With Python In 2023/2. Project-2 Toxic_Comments_Classification/2. NLP - Tokenized Sequences for Visualization.srt 7.2 kB
- [TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
- TutsNode.net.txt 63 Bytes
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